[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-b16e0bc22bc5f9a0-protecting-reasoning-circuits-during-llm-compressi-summary":3,"summaries-facets-categories":104,"summary-related-b16e0bc22bc5f9a0-protecting-reasoning-circuits-during-llm-compressi-summary":7648},{"id":4,"title":5,"ai":6,"body":13,"categories":69,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":74,"navigation":87,"path":88,"published_at":89,"question":71,"scraped_at":89,"seo":90,"sitemap":91,"source_id":92,"source_name":93,"source_type":94,"source_url":79,"stem":95,"tags":96,"thumbnail_url":71,"tldr":101,"tweet":71,"unknown_tags":102,"__hash__":103},"summaries\u002Fsummaries\u002Fb16e0bc22bc5f9a0-protecting-reasoning-circuits-during-llm-compressi-summary.md","Protecting Reasoning Circuits During LLM Compression",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4041,527,2720,0.00180075,{"type":14,"value":15,"toc":62},"minimark",[16,21,25,29,32,55,59],[17,18,20],"h2",{"id":19},"the-trade-off-between-efficiency-and-reasoning","The Trade-off Between Efficiency and Reasoning",[22,23,24],"p",{},"Traditional LLM compression techniques—such as pruning and quantization—often treat model weights as equally important. However, this research demonstrates that reasoning capabilities are localized within specific 'reasoning circuits'—subsets of neurons and attention heads that are disproportionately responsible for logical inference. When these circuits are pruned or aggressively quantized, the model's ability to perform complex reasoning tasks collapses, even if its general linguistic fluency remains intact.",[17,26,28],{"id":27},"identifying-and-protecting-critical-circuits","Identifying and Protecting Critical Circuits",[22,30,31],{},"The authors propose a 'Reasoning-Aware Compression' framework that shifts the focus from global weight importance to circuit-specific preservation. The process involves:",[33,34,35,43,49],"ol",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Circuit Identification",": Using activation-based analysis to map which specific attention heads and MLP layers are activated during multi-step reasoning tasks (e.g., chain-of-thought benchmarks).",[36,44,45,48],{},[39,46,47],{},"Sensitivity Masking",": Assigning a higher 'protection score' to these identified circuits, ensuring they are excluded from standard pruning or low-bit quantization routines.",[36,50,51,54],{},[39,52,53],{},"Selective Compression",": Applying aggressive compression only to the non-reasoning parameters (the 'knowledge' or 'style' components of the model), which are more robust to parameter reduction.",[17,56,58],{"id":57},"impact-on-deployment","Impact on Deployment",[22,60,61],{},"By protecting these vulnerable circuits, developers can achieve significant energy savings and memory reduction without the typical performance degradation seen in standard compression. This approach allows for the deployment of smaller, more energy-efficient models that retain the high-level reasoning capabilities of their larger, uncompressed counterparts. The research suggests that future model optimization should move away from uniform compression strategies toward architectures that explicitly account for the functional heterogeneity of neural networks.",{"title":63,"searchDepth":64,"depth":64,"links":65},"",2,[66,67,68],{"id":19,"depth":64,"text":20},{"id":27,"depth":64,"text":28},{"id":57,"depth":64,"text":58},[70],"AI & LLMs",null,"md",false,{"content_references":75,"triage":81},[76],{"type":77,"title":78,"url":79,"context":80},"paper","Reasoning-Aware Compression: Identifying and Protecting Vulnerable Reasoning Circuits for Energy-Efficient LLM Deployment","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.05512","cited",{"relevance":82,"novelty":83,"quality":83,"actionability":84,"composite":85,"reasoning":86},5,4,3,4.15,"Category: AI & LLMs. This article discusses a novel approach to LLM compression that directly addresses the audience's need for practical AI model optimization techniques. It introduces the 'Reasoning-Aware Compression' framework, which is actionable but lacks detailed implementation steps.",true,"\u002Fsummaries\u002Fb16e0bc22bc5f9a0-protecting-reasoning-circuits-during-llm-compressi-summary","2026-09-11 03:12:23",{"title":5,"description":63},{"loc":88},"b16e0bc22bc5f9a0","arXiv cs.AI","article","summaries\u002Fb16e0bc22bc5f9a0-protecting-reasoning-circuits-during-llm-compressi-summary",[97,98,99,100],"llm","machine-learning","research","ai-tools","Standard model compression often degrades reasoning performance by pruning critical model weights; 'Reasoning-Aware Compression' identifies and protects these specific circuits to maintain intelligence while reducing energy consumption.",[],"dakG1sLwS9cdcjcsO0Y4uLBAHNVrV2kOgqRRAPsNLN4",[105,107,110,112,115,117,120,123,125,127,129,131,134,137,139,141,143,145,148,150,152,154,156,159,161,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,396,398,400,402,404,406,408,410,412,414,416,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,452,454,456,458,460,462,464,466,468,470,472,474,476,478,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,550,552,554,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,596,598,600,602,604,606,608,610,612,614,616,618,620,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,930,932,934,936,938,941,943,945,947,949,951,953,955,957,959,961,963,965,967,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434,7436,7438,7440,7442,7444,7446,7448,7450,7452,7454,7456,7458,7460,7462,7464,7466,7468,7470,7472,7474,7476,7478,7480,7482,7484,7486,7488,7490,7492,7494,7496,7498,7500,7502,7504,7506,7508,7510,7512,7514,7516,7518,7520,7522,7524,7526,7528,7530,7532,7534,7536,7538,7540,7542,7544,7546,7548,7550,7552,7554,7556,7558,7560,7562,7564,7566,7568,7570,7572,7574,7576,7578,7580,7582,7584,7586,7588,7590,7592,7594,7596,7598,7600,7602,7604,7606,7608,7610,7612,7614,7616,7618,7620,7622,7624,7626,7628,7630,7632,7634,7636,7638,7640,7642,7644,7646],{"categories":106},[70],{"categories":108},[109],"Developer Productivity",{"categories":111},[70],{"categories":113},[114],"Business & SaaS",{"categories":116},[70],{"categories":118},[119],"AI Automation",{"categories":121},[122],"Product Strategy",{"categories":124},[119],{"categories":126},[70],{"categories":128},[109],{"categories":130},[119],{"categories":132},[133],"Software Engineering",{"categories":135},[136],"Data Science & Visualization",{"categories":138},[70],{"categories":140},[114],{"categories":142},[],{"categories":144},[70],{"categories":146},[147],"Inference & Serving",{"categories":149},[70],{"categories":151},[70],{"categories":153},[119],{"categories":155},[],{"categories":157},[158],"AI News & Trends",{"categories":160},[136],{"categories":162},[119],{"categories":164},[70],{"categories":166},[70],{"categories":168},[70],{"categories":170},[114],{"categories":172},[109],{"categories":174},[70],{"categories":176},[119],{"categories":178},[158],{"categories":180},[70],{"categories":182},[119],{"categories":184},[119],{"categories":186},[70],{"categories":188},[70],{"categories":190},[119],{"categories":192},[70],{"categories":194},[70],{"categories":196},[70],{"categories":198},[114],{"categories":200},[119],{"categories":202},[158],{"categories":204},[70],{"categories":206},[70],{"categories":208},[70],{"categories":210},[],{"categories":212},[213],"Design & Frontend",{"categories":215},[70],{"categories":217},[136],{"categories":219},[70],{"categories":221},[158],{"categories":223},[70],{"categories":225},[70],{"categories":227},[70],{"categories":229},[],{"categories":231},[70],{"categories":233},[70],{"categories":235},[119],{"categories":237},[133],{"categories":239},[70],{"categories":241},[119],{"categories":243},[70],{"categories":245},[246],"Marketing & Growth",{"categories":248},[213],{"categories":250},[70],{"categories":252},[119],{"categories":254},[70],{"categories":256},[70],{"categories":258},[133],{"categories":260},[70],{"categories":262},[],{"categories":264},[],{"categories":266},[213],{"categories":268},[70],{"categories":270},[119],{"categories":272},[109],{"categories":274},[133],{"categories":276},[119],{"categories":278},[213],{"categories":280},[70],{"categories":282},[122],{"categories":284},[70],{"categories":286},[133],{"categories":288},[289],"DevOps & Cloud",{"categories":291},[119],{"categories":293},[122],{"categories":295},[158],{"categories":297},[70],{"categories":299},[],{"categories":301},[70],{"categories":303},[70],{"categories":305},[70],{"categories":307},[],{"categories":309},[119],{"categories":311},[133],{"categories":313},[],{"categories":315},[133],{"categories":317},[119],{"categories":319},[70],{"categories":321},[213],{"categories":323},[324],"Governance & Standards",{"categories":326},[114],{"categories":328},[],{"categories":330},[70],{"categories":332},[],{"categories":334},[70],{"categories":336},[70],{"categories":338},[119],{"categories":340},[119],{"categories":342},[70],{"categories":344},[70],{"categories":346},[119],{"categories":348},[70],{"categories":350},[70],{"categories":352},[70],{"categories":354},[],{"categories":356},[133],{"categories":358},[],{"categories":360},[],{"categories":362},[70],{"categories":364},[133],{"categories":366},[],{"categories":368},[133],{"categories":370},[70],{"categories":372},[119],{"categories":374},[70],{"categories":376},[246],{"categories":378},[70],{"categories":380},[70],{"categories":382},[70],{"categories":384},[213],{"categories":386},[213],{"categories":388},[70],{"categories":390},[133],{"categories":392},[119],{"categories":394},[395],"GovTech & Public-Sector Adoption",{"categories":397},[133],{"categories":399},[70],{"categories":401},[70],{"categories":403},[70],{"categories":405},[119],{"categories":407},[119],{"categories":409},[136],{"categories":411},[70],{"categories":413},[158],{"categories":415},[119],{"categories":417},[418],"Legal AI Tools",{"categories":420},[70],{"categories":422},[119],{"categories":424},[70],{"categories":426},[246],{"categories":428},[119],{"categories":430},[122],{"categories":432},[70],{"categories":434},[133],{"categories":436},[395],{"categories":438},[],{"categories":440},[119],{"categories":442},[],{"categories":444},[114],{"categories":446},[119],{"categories":448},[119],{"categories":450},[451],"RAG & Retrieval",{"categories":453},[114],{"categories":455},[70],{"categories":457},[133],{"categories":459},[133],{"categories":461},[289],{"categories":463},[213],{"categories":465},[119],{"categories":467},[70],{"categories":469},[70],{"categories":471},[70],{"categories":473},[70],{"categories":475},[],{"categories":477},[119],{"categories":479},[480],"Agents & Orchestration",{"categories":482},[133],{"categories":484},[70],{"categories":486},[],{"categories":488},[119],{"categories":490},[114],{"categories":492},[],{"categories":494},[70],{"categories":496},[],{"categories":498},[70],{"categories":500},[109],{"categories":502},[133],{"categories":504},[114],{"categories":506},[70],{"categories":508},[70],{"categories":510},[70],{"categories":512},[119],{"categories":514},[70],{"categories":516},[70],{"categories":518},[158],{"categories":520},[70],{"categories":522},[],{"categories":524},[70],{"categories":526},[70],{"categories":528},[],{"categories":530},[70],{"categories":532},[133],{"categories":534},[70],{"categories":536},[119],{"categories":538},[136],{"categories":540},[],{"categories":542},[70],{"categories":544},[70],{"categories":546},[213],{"categories":548},[549],"Models & Frontier Labs",{"categories":551},[],{"categories":553},[213],{"categories":555},[556],"Regulation & Governance of AI",{"categories":558},[122],{"categories":560},[119],{"categories":562},[],{"categories":564},[70],{"categories":566},[70],{"categories":568},[119],{"categories":570},[119],{"categories":572},[158],{"categories":574},[70],{"categories":576},[114],{"categories":578},[70],{"categories":580},[119],{"categories":582},[],{"categories":584},[133],{"categories":586},[119],{"categories":588},[70],{"categories":590},[122],{"categories":592},[70],{"categories":594},[595],"AI Policy & Regulation",{"categories":597},[],{"categories":599},[70],{"categories":601},[119],{"categories":603},[119],{"categories":605},[122],{"categories":607},[119],{"categories":609},[70],{"categories":611},[70],{"categories":613},[70],{"categories":615},[119],{"categories":617},[],{"categories":619},[136],{"categories":621},[622],"Evals & Reliability",{"categories":624},[70],{"categories":626},[70],{"categories":628},[],{"categories":630},[136],{"categories":632},[109],{"categories":634},[395],{"categories":636},[595],{"categories":638},[70],{"categories":640},[70],{"categories":642},[114],{"categories":644},[70],{"categories":646},[119],{"categories":648},[70],{"categories":650},[119],{"categories":652},[480],{"categories":654},[70],{"categories":656},[133],{"categories":658},[70],{"categories":660},[70],{"categories":662},[],{"categories":664},[213],{"categories":666},[],{"categories":668},[70],{"categories":670},[395],{"categories":672},[70],{"categories":674},[70],{"categories":676},[70],{"categories":678},[],{"categories":680},[70],{"categories":682},[213],{"categories":684},[133],{"categories":686},[],{"categories":688},[70],{"categories":690},[],{"categories":692},[119],{"categories":694},[70],{"categories":696},[213],{"categories":698},[],{"categories":700},[70],{"categories":702},[70],{"categories":704},[136],{"categories":706},[119],{"categories":708},[70],{"categories":710},[114],{"categories":712},[119],{"categories":714},[70],{"categories":716},[70],{"categories":718},[133],{"categories":720},[213],{"categories":722},[70],{"categories":724},[119],{"categories":726},[],{"categories":728},[133],{"categories":730},[119],{"categories":732},[136],{"categories":734},[],{"categories":736},[70],{"categories":738},[158],{"categories":740},[70],{"categories":742},[],{"categories":744},[70],{"categories":746},[70],{"categories":748},[70],{"categories":750},[114,246],{"categories":752},[],{"categories":754},[133],{"categories":756},[70],{"categories":758},[70],{"categories":760},[119],{"categories":762},[70],{"categories":764},[70],{"categories":766},[],{"categories":768},[],{"categories":770},[70],{"categories":772},[70],{"categories":774},[213],{"categories":776},[70],{"categories":778},[],{"categories":780},[70],{"categories":782},[289],{"categories":784},[],{"categories":786},[119],{"categories":788},[158],{"categories":790},[70],{"categories":792},[114],{"categories":794},[70],{"categories":796},[133],{"categories":798},[213],{"categories":800},[],{"categories":802},[70],{"categories":804},[158],{"categories":806},[70],{"categories":808},[147],{"categories":810},[70],{"categories":812},[70],{"categories":814},[119],{"categories":816},[158],{"categories":818},[549],{"categories":820},[70],{"categories":822},[246],{"categories":824},[],{"categories":826},[119],{"categories":828},[114],{"categories":830},[133],{"categories":832},[70],{"categories":834},[119],{"categories":836},[],{"categories":838},[70,289],{"categories":840},[70],{"categories":842},[70],{"categories":844},[70],{"categories":846},[119],{"categories":848},[70,133],{"categories":850},[136],{"categories":852},[70],{"categories":854},[70],{"categories":856},[70],{"categories":858},[133],{"categories":860},[70],{"categories":862},[119],{"categories":864},[119],{"categories":866},[595],{"categories":868},[246],{"categories":870},[70],{"categories":872},[119],{"categories":874},[70],{"categories":876},[70],{"categories":878},[119],{"categories":880},[],{"categories":882},[119],{"categories":884},[70],{"categories":886},[70],{"categories":888},[119],{"categories":890},[70],{"categories":892},[70,114],{"categories":894},[70],{"categories":896},[70],{"categories":898},[114],{"categories":900},[],{"categories":902},[213],{"categories":904},[213],{"categories":906},[70],{"categories":908},[],{"categories":910},[],{"categories":912},[70],{"categories":914},[158],{"categories":916},[],{"categories":918},[109],{"categories":920},[70],{"categories":922},[133],{"categories":924},[119],{"categories":926},[70],{"categories":928},[929],"Generative UI & Design-to-Code",{"categories":931},[70],{"categories":933},[70],{"categories":935},[213],{"categories":937},[70],{"categories":939},[940],"Algorithmic Accountability",{"categories":942},[119],{"categories":944},[133],{"categories":946},[158],{"categories":948},[213],{"categories":950},[70],{"categories":952},[],{"categories":954},[122],{"categories":956},[70],{"categories":958},[70],{"categories":960},[70],{"categories":962},[70],{"categories":964},[70],{"categories":966},[119],{"categories":968},[969],"MLOps & Infrastructure",{"categories":971},[70],{"categories":973},[70],{"categories":975},[70],{"categories":977},[70],{"categories":979},[70],{"categories":981},[133],{"categories":983},[158],{"categories":985},[70],{"categories":987},[70],{"categories":989},[122],{"categories":991},[109],{"categories":993},[70],{"categories":995},[119],{"categories":997},[289],{"categories":999},[70],{"categories":1001},[114],{"categories":1003},[70],{"categories":1005},[213],{"categories":1007},[70],{"categories":1009},[122],{"categories":1011},[70],{"categories":1013},[119],{"categories":1015},[],{"categories":1017},[],{"categories":1019},[70],{"categories":1021},[147],{"categories":1023},[213],{"categories":1025},[158],{"categories":1027},[136],{"categories":1029},[],{"categories":1031},[70],{"categories":1033},[70],{"categories":1035},[114],{"categories":1037},[119],{"categories":1039},[70],{"categories":1041},[70],{"categories":1043},[70],{"categories":1045},[70],{"categories":1047},[70],{"categories":1049},[158],{"categories":1051},[147],{"categories":1053},[70],{"categories":1055},[213],{"categories":1057},[70],{"categories":1059},[],{"categories":1061},[119],{"categories":1063},[133],{"categories":1065},[],{"categories":1067},[70],{"categories":1069},[70],{"categories":1071},[119],{"categories":1073},[133],{"categories":1075},[70],{"categories":1077},[136],{"categories":1079},[213],{"categories":1081},[],{"categories":1083},[70],{"categories":1085},[],{"categories":1087},[70],{"categories":1089},[],{"categories":1091},[70],{"categories":1093},[70],{"categories":1095},[122],{"categories":1097},[114],{"categories":1099},[119],{"categories":1101},[119],{"categories":1103},[133],{"categories":1105},[],{"categories":1107},[70],{"categories":1109},[109],{"categories":1111},[70],{"categories":1113},[70],{"categories":1115},[114],{"categories":1117},[158],{"categories":1119},[109],{"categories":1121},[],{"categories":1123},[70],{"categories":1125},[],{"categories":1127},[70],{"categories":1129},[],{"categories":1131},[70],{"categories":1133},[158],{"categories":1135},[158],{"categories":1137},[],{"categories":1139},[480],{"categories":1141},[70],{"categories":1143},[213],{"categories":1145},[133],{"categories":1147},[],{"categories":1149},[418],{"categories":1151},[119],{"categories":1153},[119],{"categories":1155},[114],{"categories":1157},[70],{"categories":1159},[],{"categories":1161},[],{"categories":1163},[109],{"categories":1165},[136],{"categories":1167},[],{"categories":1169},[246],{"categories":1171},[119],{"categories":1173},[114],{"categories":1175},[119],{"categories":1177},[70],{"categories":1179},[114],{"categories":1181},[70],{"categories":1183},[133],{"categories":1185},[],{"categories":1187},[147],{"categories":1189},[122],{"categories":1191},[70],{"categories":1193},[213],{"categories":1195},[133],{"categories":1197},[114],{"categories":1199},[70],{"categories":1201},[133],{"categories":1203},[70],{"categories":1205},[119],{"categories":1207},[114],{"categories":1209},[70],{"categories":1211},[70],{"categories":1213},[70],{"categories":1215},[70],{"categories":1217},[70],{"categories":1219},[70],{"categories":1221},[],{"categories":1223},[],{"categories":1225},[133],{"categories":1227},[136],{"categories":1229},[122],{"categories":1231},[70],{"categories":1233},[119],{"categories":1235},[133],{"categories":1237},[133],{"categories":1239},[70],{"categories":1241},[],{"categories":1243},[70],{"categories":1245},[158],{"categories":1247},[122],{"categories":1249},[122],{"categories":1251},[133],{"categories":1253},[70],{"categories":1255},[622],{"categories":1257},[289],{"categories":1259},[],{"categories":1261},[119],{"categories":1263},[70],{"categories":1265},[109],{"categories":1267},[],{"categories":1269},[109],{"categories":1271},[],{"categories":1273},[70],{"categories":1275},[70],{"categories":1277},[70],{"categories":1279},[213],{"categories":1281},[246],{"categories":1283},[122],{"categories":1285},[70],{"categories":1287},[133],{"categories":1289},[70],{"categories":1291},[119],{"categories":1293},[],{"categories":1295},[133],{"categories":1297},[70],{"categories":1299},[109],{"categories":1301},[],{"categories":1303},[114],{"categories":1305},[70],{"categories":1307},[70],{"categories":1309},[158],{"categories":1311},[70,289],{"categories":1313},[70],{"categories":1315},[1316],"Design Systems for AI",{"categories":1318},[70],{"categories":1320},[70],{"categories":1322},[158],{"categories":1324},[70],{"categories":1326},[70],{"categories":1328},[70],{"categories":1330},[114],{"categories":1332},[70],{"categories":1334},[70],{"categories":1336},[70],{"categories":1338},[],{"categories":1340},[70],{"categories":1342},[70],{"categories":1344},[114],{"categories":1346},[70],{"categories":1348},[],{"categories":1350},[119],{"categories":1352},[119],{"categories":1354},[133],{"categories":1356},[70],{"categories":1358},[158],{"categories":1360},[133],{"categories":1362},[70],{"categories":1364},[213],{"categories":1366},[158],{"categories":1368},[136],{"categories":1370},[70],{"categories":1372},[70],{"categories":1374},[70],{"categories":1376},[70],{"categories":1378},[119],{"categories":1380},[109],{"categories":1382},[595],{"categories":1384},[70],{"categories":1386},[70],{"categories":1388},[119],{"categories":1390},[70],{"categories":1392},[133],{"categories":1394},[70],{"categories":1396},[133],{"categories":1398},[],{"categories":1400},[213],{"categories":1402},[],{"categories":1404},[70],{"categories":1406},[119],{"categories":1408},[122],{"categories":1410},[],{"categories":1412},[114],{"categories":1414},[70],{"categories":1416},[],{"categories":1418},[213],{"categories":1420},[133],{"categories":1422},[119],{"categories":1424},[133],{"categories":1426},[70],{"categories":1428},[213],{"categories":1430},[70],{"categories":1432},[133],{"categories":1434},[70],{"categories":1436},[70],{"categories":1438},[213],{"categories":1440},[],{"categories":1442},[],{"categories":1444},[158],{"categories":1446},[119],{"categories":1448},[119],{"categories":1450},[119],{"categories":1452},[70],{"categories":1454},[70],{"categories":1456},[70],{"categories":1458},[70],{"categories":1460},[70],{"categories":1462},[70],{"categories":1464},[114],{"categories":1466},[122],{"categories":1468},[70],{"categories":1470},[70],{"categories":1472},[],{"categories":1474},[133],{"categories":1476},[133],{"categories":1478},[70],{"categories":1480},[133],{"categories":1482},[114],{"categories":1484},[],{"categories":1486},[70],{"categories":1488},[70],{"categories":1490},[213],{"categories":1492},[70],{"categories":1494},[70],{"categories":1496},[70],{"categories":1498},[119],{"categories":1500},[109],{"categories":1502},[114],{"categories":1504},[70],{"categories":1506},[119],{"categories":1508},[158],{"categories":1510},[119],{"categories":1512},[147],{"categories":1514},[246],{"categories":1516},[70],{"categories":1518},[119],{"categories":1520},[70],{"categories":1522},[70],{"categories":1524},[70],{"categories":1526},[],{"categories":1528},[213],{"categories":1530},[],{"categories":1532},[70],{"categories":1534},[70],{"categories":1536},[],{"categories":1538},[70],{"categories":1540},[133],{"categories":1542},[114],{"categories":1544},[1545],"Visual & Generative Media",{"categories":1547},[119],{"categories":1549},[],{"categories":1551},[70],{"categories":1553},[70],{"categories":1555},[133],{"categories":1557},[70],{"categories":1559},[289],{"categories":1561},[70],{"categories":1563},[136],{"categories":1565},[595],{"categories":1567},[133],{"categories":1569},[246],{"categories":1571},[70],{"categories":1573},[122],{"categories":1575},[213],{"categories":1577},[70],{"categories":1579},[70],{"categories":1581},[133],{"categories":1583},[119],{"categories":1585},[70],{"categories":1587},[],{"categories":1589},[],{"categories":1591},[119],{"categories":1593},[133],{"categories":1595},[109],{"categories":1597},[119],{"categories":1599},[549],{"categories":1601},[70],{"categories":1603},[122],{"categories":1605},[70],{"categories":1607},[114],{"categories":1609},[],{"categories":1611},[70],{"categories":1613},[122],{"categories":1615},[70],{"categories":1617},[70],{"categories":1619},[70],{"categories":1621},[122],{"categories":1623},[70],{"categories":1625},[70],{"categories":1627},[246],{"categories":1629},[70],{"categories":1631},[480],{"categories":1633},[133],{"categories":1635},[119],{"categories":1637},[70],{"categories":1639},[119],{"categories":1641},[70],{"categories":1643},[70],{"categories":1645},[119],{"categories":1647},[70],{"categories":1649},[70],{"categories":1651},[70],{"categories":1653},[119],{"categories":1655},[70],{"categories":1657},[213],{"categories":1659},[119],{"categories":1661},[],{"categories":1663},[119],{"categories":1665},[70],{"categories":1667},[],{"categories":1669},[289],{"categories":1671},[133],{"categories":1673},[],{"categories":1675},[549],{"categories":1677},[70],{"categories":1679},[119],{"categories":1681},[119],{"categories":1683},[70],{"categories":1685},[213,70],{"categories":1687},[70],{"categories":1689},[109],{"categories":1691},[70],{"categories":1693},[119],{"categories":1695},[213],{"categories":1697},[],{"categories":1699},[70],{"categories":1701},[109],{"categories":1703},[70],{"categories":1705},[1706],"Medical Imaging & Radiology",{"categories":1708},[70],{"categories":1710},[70],{"categories":1712},[70],{"categories":1714},[213],{"categories":1716},[119],{"categories":1718},[119],{"categories":1720},[133],{"categories":1722},[],{"categories":1724},[70],{"categories":1726},[70],{"categories":1728},[70],{"categories":1730},[],{"categories":1732},[],{"categories":1734},[70],{"categories":1736},[70],{"categories":1738},[480],{"categories":1740},[70],{"categories":1742},[109],{"categories":1744},[70],{"categories":1746},[70],{"categories":1748},[],{"categories":1750},[119],{"categories":1752},[70],{"categories":1754},[122],{"categories":1756},[133],{"categories":1758},[70],{"categories":1760},[119],{"categories":1762},[480],{"categories":1764},[70],{"categories":1766},[119],{"categories":1768},[70],{"categories":1770},[70],{"categories":1772},[70],{"categories":1774},[70],{"categories":1776},[213],{"categories":1778},[119],{"categories":1780},[289],{"categories":1782},[213],{"categories":1784},[114],{"categories":1786},[119],{"categories":1788},[158],{"categories":1790},[70],{"categories":1792},[70],{"categories":1794},[122],{"categories":1796},[70],{"categories":1798},[70],{"categories":1800},[70],{"categories":1802},[70],{"categories":1804},[70],{"categories":1806},[119],{"categories":1808},[70],{"categories":1810},[133],{"categories":1812},[133],{"categories":1814},[70],{"categories":1816},[122],{"categories":1818},[],{"categories":1820},[158],{"categories":1822},[],{"categories":1824},[122],{"categories":1826},[119],{"categories":1828},[70],{"categories":1830},[70],{"categories":1832},[119],{"categories":1834},[70],{"categories":1836},[1316],{"categories":1838},[70],{"categories":1840},[1316],{"categories":1842},[213],{"categories":1844},[70],{"categories":1846},[70],{"categories":1848},[70],{"categories":1850},[119],{"categories":1852},[133],{"categories":1854},[213],{"categories":1856},[119],{"categories":1858},[158],{"categories":1860},[],{"categories":1862},[70],{"categories":1864},[],{"categories":1866},[70],{"categories":1868},[70],{"categories":1870},[119],{"categories":1872},[70],{"categories":1874},[70],{"categories":1876},[70],{"categories":1878},[119],{"categories":1880},[1881],"Contract Review & E-Discovery",{"categories":1883},[70],{"categories":1885},[213],{"categories":1887},[70],{"categories":1889},[109],{"categories":1891},[70],{"categories":1893},[158],{"categories":1895},[70],{"categories":1897},[70],{"categories":1899},[246],{"categories":1901},[133],{"categories":1903},[119],{"categories":1905},[70],{"categories":1907},[70],{"categories":1909},[70],{"categories":1911},[119],{"categories":1913},[119],{"categories":1915},[940],{"categories":1917},[70],{"categories":1919},[70],{"categories":1921},[119],{"categories":1923},[119],{"categories":1925},[70],{"categories":1927},[70],{"categories":1929},[70],{"categories":1931},[119],{"categories":1933},[70],{"categories":1935},[133],{"categories":1937},[70],{"categories":1939},[480],{"categories":1941},[451],{"categories":1943},[70],{"categories":1945},[119],{"categories":1947},[70],{"categories":1949},[1950],"Law-Firm Practice & Adoption",{"categories":1952},[70],{"categories":1954},[119],{"categories":1956},[213],{"categories":1958},[70],{"categories":1960},[70],{"categories":1962},[70],{"categories":1964},[],{"categories":1966},[133],{"categories":1968},[],{"categories":1970},[133],{"categories":1972},[70],{"categories":1974},[],{"categories":1976},[133],{"categories":1978},[119],{"categories":1980},[109],{"categories":1982},[289],{"categories":1984},[70],{"categories":1986},[],{"categories":1988},[70],{"categories":1990},[109],{"categories":1992},[119],{"categories":1994},[114],{"categories":1996},[70],{"categories":1998},[246],{"categories":2000},[70],{"categories":2002},[],{"categories":2004},[114],{"categories":2006},[119],{"categories":2008},[114],{"categories":2010},[],{"categories":2012},[70],{"categories":2014},[122],{"categories":2016},[70],{"categories":2018},[133],{"categories":2020},[],{"categories":2022},[],{"categories":2024},[],{"categories":2026},[],{"categories":2028},[70],{"categories":2030},[122],{"categories":2032},[119],{"categories":2034},[289],{"categories":2036},[70],{"categories":2038},[109],{"categories":2040},[133],{"categories":2042},[70],{"categories":2044},[70],{"categories":2046},[133],{"categories":2048},[122],{"categories":2050},[70],{"categories":2052},[70],{"categories":2054},[70],{"categories":2056},[969],{"categories":2058},[70],{"categories":2060},[133],{"categories":2062},[70],{"categories":2064},[246],{"categories":2066},[133],{"categories":2068},[114],{"categories":2070},[70],{"categories":2072},[70],{"categories":2074},[70],{"categories":2076},[213],{"categories":2078},[70],{"categories":2080},[70],{"categories":2082},[70],{"categories":2084},[70],{"categories":2086},[114],{"categories":2088},[119],{"categories":2090},[70,109],{"categories":2092},[70],{"categories":2094},[480],{"categories":2096},[70],{"categories":2098},[70],{"categories":2100},[133],{"categories":2102},[70],{"categories":2104},[133],{"categories":2106},[213],{"categories":2108},[119],{"categories":2110},[119],{"categories":2112},[133],{"categories":2114},[70],{"categories":2116},[119],{"categories":2118},[70],{"categories":2120},[70],{"categories":2122},[],{"categories":2124},[],{"categories":2126},[70],{"categories":2128},[136],{"categories":2130},[70],{"categories":2132},[70],{"categories":2134},[213],{"categories":2136},[119],{"categories":2138},[],{"categories":2140},[70],{"categories":2142},[70],{"categories":2144},[114],{"categories":2146},[133],{"categories":2148},[136],{"categories":2150},[158],{"categories":2152},[122],{"categories":2154},[213],{"categories":2156},[70],{"categories":2158},[119],{"categories":2160},[70],{"categories":2162},[133],{"categories":2164},[],{"categories":2166},[119],{"categories":2168},[119],{"categories":2170},[70],{"categories":2172},[70],{"categories":2174},[70],{"categories":2176},[70],{"categories":2178},[70],{"categories":2180},[70],{"categories":2182},[],{"categories":2184},[119],{"categories":2186},[70],{"categories":2188},[70],{"categories":2190},[70],{"categories":2192},[],{"categories":2194},[119],{"categories":2196},[119],{"categories":2198},[70],{"categories":2200},[70],{"categories":2202},[114],{"categories":2204},[70],{"categories":2206},[70],{"categories":2208},[],{"categories":2210},[109],{"categories":2212},[70],{"categories":2214},[70],{"categories":2216},[70],{"categories":2218},[213],{"categories":2220},[70],{"categories":2222},[133],{"categories":2224},[70],{"categories":2226},[109],{"categories":2228},[70],{"categories":2230},[133],{"categories":2232},[246],{"categories":2234},[133],{"categories":2236},[119],{"categories":2238},[119],{"categories":2240},[70],{"categories":2242},[70],{"categories":2244},[70,213],{"categories":2246},[70],{"categories":2248},[119],{"categories":2250},[158],{"categories":2252},[70],{"categories":2254},[158],{"categories":2256},[119],{"categories":2258},[213],{"categories":2260},[70],{"categories":2262},[],{"categories":2264},[133],{"categories":2266},[289],{"categories":2268},[213],{"categories":2270},[133],{"categories":2272},[70],{"categories":2274},[122],{"categories":2276},[70],{"categories":2278},[70],{"categories":2280},[119],{"categories":2282},[],{"categories":2284},[],{"categories":2286},[70],{"categories":2288},[],{"categories":2290},[],{"categories":2292},[122],{"categories":2294},[133],{"categories":2296},[70],{"categories":2298},[70],{"categories":2300},[119],{"categories":2302},[70],{"categories":2304},[119],{"categories":2306},[114],{"categories":2308},[119],{"categories":2310},[289],{"categories":2312},[70],{"categories":2314},[70],{"categories":2316},[70],{"categories":2318},[147],{"categories":2320},[70],{"categories":2322},[70],{"categories":2324},[70],{"categories":2326},[70],{"categories":2328},[133],{"categories":2330},[119],{"categories":2332},[70],{"categories":2334},[70],{"categories":2336},[70],{"categories":2338},[133],{"categories":2340},[418],{"categories":2342},[119],{"categories":2344},[940],{"categories":2346},[],{"categories":2348},[119],{"categories":2350},[213],{"categories":2352},[1950],{"categories":2354},[133],{"categories":2356},[],{"categories":2358},[119],{"categories":2360},[],{"categories":2362},[70],{"categories":2364},[119],{"categories":2366},[],{"categories":2368},[],{"categories":2370},[70],{"categories":2372},[70],{"categories":2374},[246],{"categories":2376},[70],{"categories":2378},[246],{"categories":2380},[70],{"categories":2382},[119],{"categories":2384},[70],{"categories":2386},[70],{"categories":2388},[136],{"categories":2390},[70],{"categories":2392},[133],{"categories":2394},[122],{"categories":2396},[],{"categories":2398},[70],{"categories":2400},[70],{"categories":2402},[70],{"categories":2404},[133],{"categories":2406},[70],{"categories":2408},[1881],{"categories":2410},[70],{"categories":2412},[213],{"categories":2414},[213],{"categories":2416},[70],{"categories":2418},[119],{"categories":2420},[109],{"categories":2422},[70],{"categories":2424},[70],{"categories":2426},[70],{"categories":2428},[70],{"categories":2430},[213],{"categories":2432},[213],{"categories":2434},[119],{"categories":2436},[119],{"categories":2438},[119],{"categories":2440},[70],{"categories":2442},[70],{"categories":2444},[70],{"categories":2446},[119],{"categories":2448},[],{"categories":2450},[70],{"categories":2452},[],{"categories":2454},[213],{"categories":2456},[2457],"Interaction & Product Design",{"categories":2459},[70],{"categories":2461},[119],{"categories":2463},[133],{"categories":2465},[324],{"categories":2467},[158],{"categories":2469},[133],{"categories":2471},[70],{"categories":2473},[122],{"categories":2475},[70],{"categories":2477},[70],{"categories":2479},[133],{"categories":2481},[70],{"categories":2483},[109],{"categories":2485},[119],{"categories":2487},[70],{"categories":2489},[],{"categories":2491},[119],{"categories":2493},[119],{"categories":2495},[119],{"categories":2497},[],{"categories":2499},[133],{"categories":2501},[70],{"categories":2503},[119],{"categories":2505},[109],{"categories":2507},[2457],{"categories":2509},[70],{"categories":2511},[109],{"categories":2513},[109],{"categories":2515},[70],{"categories":2517},[],{"categories":2519},[70],{"categories":2521},[119],{"categories":2523},[133],{"categories":2525},[],{"categories":2527},[119],{"categories":2529},[122],{"categories":2531},[158],{"categories":2533},[70],{"categories":2535},[119],{"categories":2537},[70],{"categories":2539},[119],{"categories":2541},[119],{"categories":2543},[70],{"categories":2545},[70],{"categories":2547},[158],{"categories":2549},[136],{"categories":2551},[70],{"categories":2553},[122],{"categories":2555},[133],{"categories":2557},[2558],"Coding Agents & Dev Productivity",{"categories":2560},[158],{"categories":2562},[213],{"categories":2564},[70],{"categories":2566},[70],{"categories":2568},[],{"categories":2570},[70],{"categories":2572},[70],{"categories":2574},[940],{"categories":2576},[],{"categories":2578},[70],{"categories":2580},[70],{"categories":2582},[289],{"categories":2584},[70],{"categories":2586},[158],{"categories":2588},[],{"categories":2590},[],{"categories":2592},[70],{"categories":2594},[],{"categories":2596},[119],{"categories":2598},[70],{"categories":2600},[119],{"categories":2602},[],{"categories":2604},[133],{"categories":2606},[133],{"categories":2608},[70],{"categories":2610},[136],{"categories":2612},[],{"categories":2614},[70],{"categories":2616},[70],{"categories":2618},[70],{"categories":2620},[136],{"categories":2622},[133],{"categories":2624},[119],{"categories":2626},[],{"categories":2628},[],{"categories":2630},[70],{"categories":2632},[70],{"categories":2634},[70],{"categories":2636},[70],{"categories":2638},[119],{"categories":2640},[119],{"categories":2642},[395],{"categories":2644},[133],{"categories":2646},[122],{"categories":2648},[133],{"categories":2650},[119],{"categories":2652},[158],{"categories":2654},[158],{"categories":2656},[119],{"categories":2658},[119],{"categories":2660},[70],{"categories":2662},[109],{"categories":2664},[2457],{"categories":2666},[122],{"categories":2668},[70,289],{"categories":2670},[136],{"categories":2672},[],{"categories":2674},[213],{"categories":2676},[119],{"categories":2678},[133],{"categories":2680},[109],{"categories":2682},[70],{"categories":2684},[119],{"categories":2686},[2687],"The Designer's Role & Craft",{"categories":2689},[213],{"categories":2691},[],{"categories":2693},[119],{"categories":2695},[70],{"categories":2697},[119],{"categories":2699},[119],{"categories":2701},[70],{"categories":2703},[246],{"categories":2705},[70],{"categories":2707},[133],{"categories":2709},[119],{"categories":2711},[70],{"categories":2713},[213],{"categories":2715},[70],{"categories":2717},[],{"categories":2719},[119],{"categories":2721},[213],{"categories":2723},[122],{"categories":2725},[70],{"categories":2727},[119],{"categories":2729},[70],{"categories":2731},[70],{"categories":2733},[70],{"categories":2735},[2736],"AI UX Patterns",{"categories":2738},[119],{"categories":2740},[119],{"categories":2742},[119],{"categories":2744},[70],{"categories":2746},[119],{"categories":2748},[246],{"categories":2750},[136],{"categories":2752},[70],{"categories":2754},[119],{"categories":2756},[70],{"categories":2758},[1316],{"categories":2760},[],{"categories":2762},[246],{"categories":2764},[119],{"categories":2766},[158],{"categories":2768},[133],{"categories":2770},[70],{"categories":2772},[119],{"categories":2774},[],{"categories":2776},[],{"categories":2778},[70],{"categories":2780},[70],{"categories":2782},[119],{"categories":2784},[70],{"categories":2786},[119],{"categories":2788},[395],{"categories":2790},[213],{"categories":2792},[70],{"categories":2794},[158],{"categories":2796},[133],{"categories":2798},[70],{"categories":2800},[119],{"categories":2802},[119],{"categories":2804},[],{"categories":2806},[70],{"categories":2808},[],{"categories":2810},[70],{"categories":2812},[],{"categories":2814},[70],{"categories":2816},[70],{"categories":2818},[70],{"categories":2820},[119],{"categories":2822},[70],{"categories":2824},[133],{"categories":2826},[],{"categories":2828},[],{"categories":2830},[136],{"categories":2832},[147],{"categories":2834},[70],{"categories":2836},[70],{"categories":2838},[70],{"categories":2840},[136],{"categories":2842},[136],{"categories":2844},[70],{"categories":2846},[70],{"categories":2848},[158],{"categories":2850},[70],{"categories":2852},[70],{"categories":2854},[70],{"categories":2856},[119],{"categories":2858},[70],{"categories":2860},[70],{"categories":2862},[119],{"categories":2864},[70],{"categories":2866},[70],{"categories":2868},[70],{"categories":2870},[119],{"categories":2872},[],{"categories":2874},[70],{"categories":2876},[],{"categories":2878},[70],{"categories":2880},[70],{"categories":2882},[289],{"categories":2884},[70],{"categories":2886},[],{"categories":2888},[],{"categories":2890},[213],{"categories":2892},[969],{"categories":2894},[119],{"categories":2896},[109],{"categories":2898},[2687],{"categories":2900},[],{"categories":2902},[],{"categories":2904},[70],{"categories":2906},[],{"categories":2908},[],{"categories":2910},[133],{"categories":2912},[158],{"categories":2914},[246],{"categories":2916},[136],{"categories":2918},[119],{"categories":2920},[114],{"categories":2922},[70],{"categories":2924},[70],{"categories":2926},[114],{"categories":2928},[],{"categories":2930},[213],{"categories":2932},[122],{"categories":2934},[70],{"categories":2936},[70],{"categories":2938},[119],{"categories":2940},[114],{"categories":2942},[70],{"categories":2944},[70],{"categories":2946},[109],{"categories":2948},[70],{"categories":2950},[70],{"categories":2952},[],{"categories":2954},[109],{"categories":2956},[70],{"categories":2958},[246],{"categories":2960},[70],{"categories":2962},[133],{"categories":2964},[119],{"categories":2966},[158],{"categories":2968},[70],{"categories":2970},[133],{"categories":2972},[70],{"categories":2974},[70],{"categories":2976},[70],{"categories":2978},[70],{"categories":2980},[114],{"categories":2982},[70],{"categories":2984},[70],{"categories":2986},[70],{"categories":2988},[119],{"categories":2990},[70],{"categories":2992},[70],{"categories":2994},[],{"categories":2996},[70],{"categories":2998},[133],{"categories":3000},[109],{"categories":3002},[70],{"categories":3004},[70],{"categories":3006},[213],{"categories":3008},[70],{"categories":3010},[],{"categories":3012},[70],{"categories":3014},[480],{"categories":3016},[119],{"categories":3018},[114],{"categories":3020},[70],{"categories":3022},[158],{"categories":3024},[70],{"categories":3026},[70],{"categories":3028},[],{"categories":3030},[114],{"categories":3032},[114],{"categories":3034},[70],{"categories":3036},[70],{"categories":3038},[122],{"categories":3040},[70],{"categories":3042},[70],{"categories":3044},[70],{"categories":3046},[70],{"categories":3048},[133],{"categories":3050},[136],{"categories":3052},[133],{"categories":3054},[70],{"categories":3056},[],{"categories":3058},[70],{"categories":3060},[133],{"categories":3062},[70],{"categories":3064},[133],{"categories":3066},[119],{"categories":3068},[595],{"categories":3070},[],{"categories":3072},[],{"categories":3074},[70],{"categories":3076},[158],{"categories":3078},[],{"categories":3080},[289],{"categories":3082},[70],{"categories":3084},[70],{"categories":3086},[70],{"categories":3088},[213],{"categories":3090},[929],{"categories":3092},[],{"categories":3094},[70],{"categories":3096},[70],{"categories":3098},[70],{"categories":3100},[133],{"categories":3102},[70],{"categories":3104},[70],{"categories":3106},[70],{"categories":3108},[70],{"categories":3110},[70,289],{"categories":3112},[70],{"categories":3114},[70],{"categories":3116},[213],{"categories":3118},[119],{"categories":3120},[],{"categories":3122},[119],{"categories":3124},[119],{"categories":3126},[70],{"categories":3128},[70],{"categories":3130},[70],{"categories":3132},[70],{"categories":3134},[70],{"categories":3136},[136],{"categories":3138},[70],{"categories":3140},[70],{"categories":3142},[2736],{"categories":3144},[109],{"categories":3146},[70],{"categories":3148},[136],{"categories":3150},[109],{"categories":3152},[133],{"categories":3154},[213],{"categories":3156},[119],{"categories":3158},[70],{"categories":3160},[70],{"categories":3162},[],{"categories":3164},[114],{"categories":3166},[70],{"categories":3168},[70],{"categories":3170},[158],{"categories":3172},[70],{"categories":3174},[70],{"categories":3176},[70],{"categories":3178},[119],{"categories":3180},[70],{"categories":3182},[70],{"categories":3184},[213],{"categories":3186},[70],{"categories":3188},[114],{"categories":3190},[],{"categories":3192},[289],{"categories":3194},[70],{"categories":3196},[395],{"categories":3198},[213],{"categories":3200},[213],{"categories":3202},[133],{"categories":3204},[119],{"categories":3206},[70],{"categories":3208},[114],{"categories":3210},[158],{"categories":3212},[70],{"categories":3214},[70],{"categories":3216},[70],{"categories":3218},[213],{"categories":3220},[119],{"categories":3222},[70],{"categories":3224},[119],{"categories":3226},[70],{"categories":3228},[119],{"categories":3230},[70],{"categories":3232},[549],{"categories":3234},[70],{"categories":3236},[119],{"categories":3238},[],{"categories":3240},[70],{"categories":3242},[70],{"categories":3244},[70],{"categories":3246},[70],{"categories":3248},[119],{"categories":3250},[],{"categories":3252},[],{"categories":3254},[70],{"categories":3256},[70],{"categories":3258},[119],{"categories":3260},[70],{"categories":3262},[70],{"categories":3264},[70],{"categories":3266},[133],{"categories":3268},[70],{"categories":3270},[70],{"categories":3272},[119],{"categories":3274},[70],{"categories":3276},[70],{"categories":3278},[70],{"categories":3280},[70],{"categories":3282},[70],{"categories":3284},[],{"categories":3286},[133],{"categories":3288},[136],{"categories":3290},[70],{"categories":3292},[119],{"categories":3294},[119],{"categories":3296},[70],{"categories":3298},[70],{"categories":3300},[],{"categories":3302},[],{"categories":3304},[70],{"categories":3306},[70],{"categories":3308},[70],{"categories":3310},[158],{"categories":3312},[136],{"categories":3314},[],{"categories":3316},[70],{"categories":3318},[213],{"categories":3320},[70],{"categories":3322},[70],{"categories":3324},[289],{"categories":3326},[1950],{"categories":3328},[70],{"categories":3330},[158],{"categories":3332},[133],{"categories":3334},[70],{"categories":3336},[133],{"categories":3338},[133],{"categories":3340},[70],{"categories":3342},[70],{"categories":3344},[133],{"categories":3346},[158],{"categories":3348},[158],{"categories":3350},[289],{"categories":3352},[119],{"categories":3354},[],{"categories":3356},[158],{"categories":3358},[114],{"categories":3360},[70],{"categories":3362},[119],{"categories":3364},[109],{"categories":3366},[133],{"categories":3368},[70],{"categories":3370},[114],{"categories":3372},[158],{"categories":3374},[],{"categories":3376},[70],{"categories":3378},[133],{"categories":3380},[70],{"categories":3382},[133],{"categories":3384},[136],{"categories":3386},[70],{"categories":3388},[158],{"categories":3390},[70],{"categories":3392},[133],{"categories":3394},[119],{"categories":3396},[119],{"categories":3398},[158],{"categories":3400},[119],{"categories":3402},[289],{"categories":3404},[119],{"categories":3406},[70],{"categories":3408},[70],{"categories":3410},[70],{"categories":3412},[70],{"categories":3414},[70],{"categories":3416},[133],{"categories":3418},[70],{"categories":3420},[],{"categories":3422},[119],{"categories":3424},[114],{"categories":3426},[133],{"categories":3428},[],{"categories":3430},[],{"categories":3432},[70],{"categories":3434},[119],{"categories":3436},[70],{"categories":3438},[70],{"categories":3440},[70],{"categories":3442},[3443],"Frameworks & Tooling",{"categories":3445},[70],{"categories":3447},[70],{"categories":3449},[133],{"categories":3451},[70],{"categories":3453},[70],{"categories":3455},[],{"categories":3457},[136],{"categories":3459},[136],{"categories":3461},[70],{"categories":3463},[109],{"categories":3465},[70],{"categories":3467},[119],{"categories":3469},[70],{"categories":3471},[213],{"categories":3473},[],{"categories":3475},[1950],{"categories":3477},[70],{"categories":3479},[133],{"categories":3481},[70],{"categories":3483},[289],{"categories":3485},[289],{"categories":3487},[],{"categories":3489},[70],{"categories":3491},[119],{"categories":3493},[119],{"categories":3495},[70],{"categories":3497},[70],{"categories":3499},[158],{"categories":3501},[119],{"categories":3503},[158],{"categories":3505},[70],{"categories":3507},[119],{"categories":3509},[],{"categories":3511},[213],{"categories":3513},[70],{"categories":3515},[70],{"categories":3517},[],{"categories":3519},[70],{"categories":3521},[119],{"categories":3523},[70],{"categories":3525},[70],{"categories":3527},[70],{"categories":3529},[],{"categories":3531},[114],{"categories":3533},[133],{"categories":3535},[70],{"categories":3537},[133],{"categories":3539},[289],{"categories":3541},[70],{"categories":3543},[70],{"categories":3545},[70],{"categories":3547},[133],{"categories":3549},[70],{"categories":3551},[114],{"categories":3553},[70],{"categories":3555},[1950],{"categories":3557},[],{"categories":3559},[119],{"categories":3561},[109],{"categories":3563},[70],{"categories":3565},[109],{"categories":3567},[70],{"categories":3569},[],{"categories":3571},[119],{"categories":3573},[70],{"categories":3575},[70],{"categories":3577},[3578],"AI Design Tooling",{"categories":3580},[213],{"categories":3582},[70],{"categories":3584},[70],{"categories":3586},[133],{"categories":3588},[213],{"categories":3590},[70],{"categories":3592},[70],{"categories":3594},[133],{"categories":3596},[119],{"categories":3598},[158],{"categories":3600},[122],{"categories":3602},[133],{"categories":3604},[70],{"categories":3606},[70],{"categories":3608},[70],{"categories":3610},[119],{"categories":3612},[70],{"categories":3614},[],{"categories":3616},[119],{"categories":3618},[70],{"categories":3620},[70],{"categories":3622},[119],{"categories":3624},[70],{"categories":3626},[70],{"categories":3628},[70],{"categories":3630},[119],{"categories":3632},[],{"categories":3634},[119],{"categories":3636},[3443],{"categories":3638},[70],{"categories":3640},[70],{"categories":3642},[119],{"categories":3644},[119],{"categories":3646},[133],{"categories":3648},[133],{"categories":3650},[70],{"categories":3652},[70],{"categories":3654},[],{"categories":3656},[133],{"categories":3658},[70],{"categories":3660},[70],{"categories":3662},[119],{"categories":3664},[114],{"categories":3666},[70],{"categories":3668},[],{"categories":3670},[70],{"categories":3672},[70],{"categories":3674},[2457],{"categories":3676},[],{"categories":3678},[70],{"categories":3680},[70],{"categories":3682},[70],{"categories":3684},[70],{"categories":3686},[213],{"categories":3688},[70],{"categories":3690},[],{"categories":3692},[70],{"categories":3694},[70],{"categories":3696},[70],{"categories":3698},[70],{"categories":3700},[246],{"categories":3702},[158],{"categories":3704},[70],{"categories":3706},[70],{"categories":3708},[1950],{"categories":3710},[70],{"categories":3712},[109],{"categories":3714},[70],{"categories":3716},[70],{"categories":3718},[136],{"categories":3720},[119],{"categories":3722},[70],{"categories":3724},[70],{"categories":3726},[158],{"categories":3728},[119],{"categories":3730},[],{"categories":3732},[70],{"categories":3734},[70],{"categories":3736},[213],{"categories":3738},[70],{"categories":3740},[246],{"categories":3742},[119],{"categories":3744},[70],{"categories":3746},[119],{"categories":3748},[70],{"categories":3750},[],{"categories":3752},[],{"categories":3754},[],{"categories":3756},[109],{"categories":3758},[158],{"categories":3760},[119],{"categories":3762},[70],{"categories":3764},[70],{"categories":3766},[70],{"categories":3768},[70],{"categories":3770},[418],{"categories":3772},[213],{"categories":3774},[119],{"categories":3776},[70],{"categories":3778},[],{"categories":3780},[70],{"categories":3782},[119],{"categories":3784},[119],{"categories":3786},[],{"categories":3788},[70],{"categories":3790},[119],{"categories":3792},[70],{"categories":3794},[],{"categories":3796},[70],{"categories":3798},[70],{"categories":3800},[70],{"categories":3802},[158],{"categories":3804},[213],{"categories":3806},[119],{"categories":3808},[213],{"categories":3810},[119],{"categories":3812},[70],{"categories":3814},[114],{"categories":3816},[],{"categories":3818},[],{"categories":3820},[70],{"categories":3822},[70],{"categories":3824},[70],{"categories":3826},[109],{"categories":3828},[70],{"categories":3830},[119],{"categories":3832},[158],{"categories":3834},[],{"categories":3836},[213],{"categories":3838},[119],{"categories":3840},[],{"categories":3842},[133],{"categories":3844},[70],{"categories":3846},[133],{"categories":3848},[213],{"categories":3850},[133],{"categories":3852},[70],{"categories":3854},[],{"categories":3856},[70],{"categories":3858},[70],{"categories":3860},[119],{"categories":3862},[],{"categories":3864},[70],{"categories":3866},[70],{"categories":3868},[246],{"categories":3870},[70],{"categories":3872},[70],{"categories":3874},[70],{"categories":3876},[289],{"categories":3878},[133],{"categories":3880},[70],{"categories":3882},[119],{"categories":3884},[],{"categories":3886},[70],{"categories":3888},[119],{"categories":3890},[70],{"categories":3892},[109],{"categories":3894},[549],{"categories":3896},[70],{"categories":3898},[70],{"categories":3900},[70],{"categories":3902},[119],{"categories":3904},[70],{"categories":3906},[119],{"categories":3908},[70],{"categories":3910},[70],{"categories":3912},[70],{"categories":3914},[119],{"categories":3916},[122],{"categories":3918},[70],{"categories":3920},[70],{"categories":3922},[],{"categories":3924},[70],{"categories":3926},[70],{"categories":3928},[109],{"categories":3930},[70],{"categories":3932},[114],{"categories":3934},[133],{"categories":3936},[213],{"categories":3938},[],{"categories":3940},[70],{"categories":3942},[],{"categories":3944},[119],{"categories":3946},[70],{"categories":3948},[119],{"categories":3950},[],{"categories":3952},[119],{"categories":3954},[70],{"categories":3956},[133],{"categories":3958},[213],{"categories":3960},[158],{"categories":3962},[70],{"categories":3964},[158],{"categories":3966},[119],{"categories":3968},[70],{"categories":3970},[213],{"categories":3972},[70],{"categories":3974},[],{"categories":3976},[70],{"categories":3978},[147],{"categories":3980},[119],{"categories":3982},[70],{"categories":3984},[213],{"categories":3986},[158],{"categories":3988},[70],{"categories":3990},[114],{"categories":3992},[133],{"categories":3994},[70],{"categories":3996},[70],{"categories":3998},[70],{"categories":4000},[70],{"categories":4002},[70],{"categories":4004},[158],{"categories":4006},[133],{"categories":4008},[246],{"categories":4010},[],{"categories":4012},[],{"categories":4014},[136],{"categories":4016},[480],{"categories":4018},[70],{"categories":4020},[119],{"categories":4022},[70,133],{"categories":4024},[158],{"categories":4026},[70],{"categories":4028},[70],{"categories":4030},[70],{"categories":4032},[70],{"categories":4034},[70],{"categories":4036},[70],{"categories":4038},[70],{"categories":4040},[119],{"categories":4042},[70],{"categories":4044},[70],{"categories":4046},[119],{"categories":4048},[70],{"categories":4050},[70],{"categories":4052},[70],{"categories":4054},[],{"categories":4056},[70],{"categories":4058},[1316],{"categories":4060},[133],{"categories":4062},[213],{"categories":4064},[70],{"categories":4066},[70],{"categories":4068},[70],{"categories":4070},[70],{"categories":4072},[136],{"categories":4074},[119],{"categories":4076},[246],{"categories":4078},[289],{"categories":4080},[],{"categories":4082},[133],{"categories":4084},[70],{"categories":4086},[114],{"categories":4088},[119],{"categories":4090},[70],{"categories":4092},[109],{"categories":4094},[119],{"categories":4096},[70],{"categories":4098},[119],{"categories":4100},[119],{"categories":4102},[122],{"categories":4104},[133],{"categories":4106},[70],{"categories":4108},[70],{"categories":4110},[],{"categories":4112},[],{"categories":4114},[],{"categories":4116},[289],{"categories":4118},[70],{"categories":4120},[158],{"categories":4122},[70],{"categories":4124},[70],{"categories":4126},[70],{"categories":4128},[70],{"categories":4130},[133],{"categories":4132},[70],{"categories":4134},[],{"categories":4136},[70],{"categories":4138},[136],{"categories":4140},[114],{"categories":4142},[119],{"categories":4144},[70],{"categories":4146},[],{"categories":4148},[70],{"categories":4150},[119],{"categories":4152},[133],{"categories":4154},[70],{"categories":4156},[70],{"categories":4158},[70],{"categories":4160},[289],{"categories":4162},[],{"categories":4164},[213],{"categories":4166},[213],{"categories":4168},[70],{"categories":4170},[119],{"categories":4172},[],{"categories":4174},[133],{"categories":4176},[70],{"categories":4178},[213],{"categories":4180},[70],{"categories":4182},[114],{"categories":4184},[119],{"categories":4186},[70],{"categories":4188},[],{"categories":4190},[158],{"categories":4192},[70],{"categories":4194},[70],{"categories":4196},[70],{"categories":4198},[70],{"categories":4200},[70],{"categories":4202},[213],{"categories":4204},[119],{"categories":4206},[158],{"categories":4208},[],{"categories":4210},[119],{"categories":4212},[70],{"categories":4214},[114],{"categories":4216},[119],{"categories":4218},[213],{"categories":4220},[70],{"categories":4222},[70],{"categories":4224},[70],{"categories":4226},[480],{"categories":4228},[70],{"categories":4230},[119],{"categories":4232},[],{"categories":4234},[70],{"categories":4236},[70],{"categories":4238},[289],{"categories":4240},[158],{"categories":4242},[136],{"categories":4244},[595],{"categories":4246},[136],{"categories":4248},[136],{"categories":4250},[70],{"categories":4252},[],{"categories":4254},[],{"categories":4256},[],{"categories":4258},[119],{"categories":4260},[70],{"categories":4262},[70],{"categories":4264},[119],{"categories":4266},[119],{"categories":4268},[133],{"categories":4270},[70],{"categories":4272},[451],{"categories":4274},[133],{"categories":4276},[70],{"categories":4278},[119],{"categories":4280},[70],{"categories":4282},[70],{"categories":4284},[70],{"categories":4286},[114],{"categories":4288},[70],{"categories":4290},[70],{"categories":4292},[70],{"categories":4294},[70],{"categories":4296},[119],{"categories":4298},[122],{"categories":4300},[70],{"categories":4302},[],{"categories":4304},[],{"categories":4306},[70],{"categories":4308},[],{"categories":4310},[70],{"categories":4312},[119],{"categories":4314},[213],{"categories":4316},[70],{"categories":4318},[70],{"categories":4320},[119],{"categories":4322},[],{"categories":4324},[119],{"categories":4326},[70],{"categories":4328},[70],{"categories":4330},[122],{"categories":4332},[70],{"categories":4334},[213],{"categories":4336},[70],{"categories":4338},[119],{"categories":4340},[114],{"categories":4342},[70],{"categories":4344},[70],{"categories":4346},[70],{"categories":4348},[246],{"categories":4350},[119],{"categories":4352},[70],{"categories":4354},[70],{"categories":4356},[70],{"categories":4358},[929],{"categories":4360},[70],{"categories":4362},[119],{"categories":4364},[70],{"categories":4366},[133],{"categories":4368},[70],{"categories":4370},[549],{"categories":4372},[213],{"categories":4374},[],{"categories":4376},[70],{"categories":4378},[70],{"categories":4380},[158],{"categories":4382},[480],{"categories":4384},[119],{"categories":4386},[70],{"categories":4388},[],{"categories":4390},[158],{"categories":4392},[395],{"categories":4394},[119],{"categories":4396},[119],{"categories":4398},[119],{"categories":4400},[70],{"categories":4402},[70],{"categories":4404},[119],{"categories":4406},[70],{"categories":4408},[],{"categories":4410},[114],{"categories":4412},[70],{"categories":4414},[213],{"categories":4416},[114],{"categories":4418},[119],{"categories":4420},[133],{"categories":4422},[],{"categories":4424},[133],{"categories":4426},[70],{"categories":4428},[70],{"categories":4430},[109],{"categories":4432},[70],{"categories":4434},[158],{"categories":4436},[289],{"categories":4438},[147],{"categories":4440},[119],{"categories":4442},[119],{"categories":4444},[70],{"categories":4446},[70],{"categories":4448},[119],{"categories":4450},[70],{"categories":4452},[109],{"categories":4454},[],{"categories":4456},[119],{"categories":4458},[70],{"categories":4460},[70],{"categories":4462},[70],{"categories":4464},[119],{"categories":4466},[70],{"categories":4468},[],{"categories":4470},[70],{"categories":4472},[],{"categories":4474},[213],{"categories":4476},[119],{"categories":4478},[119],{"categories":4480},[70,114],{"categories":4482},[119],{"categories":4484},[70],{"categories":4486},[],{"categories":4488},[109],{"categories":4490},[136],{"categories":4492},[114],{"categories":4494},[119],{"categories":4496},[70],{"categories":4498},[133],{"categories":4500},[70],{"categories":4502},[70],{"categories":4504},[119],{"categories":4506},[70],{"categories":4508},[70],{"categories":4510},[70],{"categories":4512},[158],{"categories":4514},[1316],{"categories":4516},[119],{"categories":4518},[70],{"categories":4520},[],{"categories":4522},[],{"categories":4524},[70],{"categories":4526},[119],{"categories":4528},[70],{"categories":4530},[70],{"categories":4532},[289],{"categories":4534},[],{"categories":4536},[70],{"categories":4538},[119],{"categories":4540},[147],{"categories":4542},[119],{"categories":4544},[70],{"categories":4546},[480],{"categories":4548},[],{"categories":4550},[418],{"categories":4552},[70],{"categories":4554},[119],{"categories":4556},[70],{"categories":4558},[70],{"categories":4560},[70],{"categories":4562},[246],{"categories":4564},[70],{"categories":4566},[119],{"categories":4568},[70],{"categories":4570},[136],{"categories":4572},[122],{"categories":4574},[119],{"categories":4576},[70],{"categories":4578},[480],{"categories":4580},[70],{"categories":4582},[289],{"categories":4584},[114],{"categories":4586},[],{"categories":4588},[70],{"categories":4590},[70],{"categories":4592},[246],{"categories":4594},[213],{"categories":4596},[70],{"categories":4598},[70],{"categories":4600},[70],{"categories":4602},[],{"categories":4604},[246],{"categories":4606},[158],{"categories":4608},[70],{"categories":4610},[70],{"categories":4612},[70],{"categories":4614},[595],{"categories":4616},[109],{"categories":4618},[70],{"categories":4620},[122],{"categories":4622},[70],{"categories":4624},[70],{"categories":4626},[],{"categories":4628},[],{"categories":4630},[213],{"categories":4632},[70],{"categories":4634},[70],{"categories":4636},[136],{"categories":4638},[246],{"categories":4640},[119],{"categories":4642},[70],{"categories":4644},[70],{"categories":4646},[246],{"categories":4648},[114],{"categories":4650},[158],{"categories":4652},[70],{"categories":4654},[],{"categories":4656},[70],{"categories":4658},[70],{"categories":4660},[],{"categories":4662},[70],{"categories":4664},[70],{"categories":4666},[622],{"categories":4668},[70],{"categories":4670},[70],{"categories":4672},[119],{"categories":4674},[133],{"categories":4676},[480],{"categories":4678},[70],{"categories":4680},[114],{"categories":4682},[70],{"categories":4684},[70],{"categories":4686},[],{"categories":4688},[70,133],{"categories":4690},[158],{"categories":4692},[119],{"categories":4694},[133],{"categories":4696},[119],{"categories":4698},[969],{"categories":4700},[133],{"categories":4702},[133],{"categories":4704},[119],{"categories":4706},[70],{"categories":4708},[109],{"categories":4710},[70],{"categories":4712},[],{"categories":4714},[],{"categories":4716},[119],{"categories":4718},[70],{"categories":4720},[133],{"categories":4722},[119],{"categories":4724},[70],{"categories":4726},[109],{"categories":4728},[133],{"categories":4730},[133],{"categories":4732},[70],{"categories":4734},[246],{"categories":4736},[70],{"categories":4738},[70],{"categories":4740},[133],{"categories":4742},[70],{"categories":4744},[],{"categories":4746},[70],{"categories":4748},[70],{"categories":4750},[213,70],{"categories":4752},[289],{"categories":4754},[109],{"categories":4756},[70],{"categories":4758},[],{"categories":4760},[70],{"categories":4762},[70],{"categories":4764},[114],{"categories":4766},[70],{"categories":4768},[114],{"categories":4770},[70],{"categories":4772},[70],{"categories":4774},[395],{"categories":4776},[70],{"categories":4778},[114],{"categories":4780},[133],{"categories":4782},[136],{"categories":4784},[119],{"categories":4786},[70],{"categories":4788},[133],{"categories":4790},[70],{"categories":4792},[70],{"categories":4794},[158],{"categories":4796},[70],{"categories":4798},[246],{"categories":4800},[213],{"categories":4802},[70],{"categories":4804},[70],{"categories":4806},[122],{"categories":4808},[70],{"categories":4810},[70],{"categories":4812},[109],{"categories":4814},[70],{"categories":4816},[119],{"categories":4818},[119],{"categories":4820},[133],{"categories":4822},[70],{"categories":4824},[158],{"categories":4826},[133],{"categories":4828},[133],{"categories":4830},[70],{"categories":4832},[70],{"categories":4834},[],{"categories":4836},[],{"categories":4838},[136],{"categories":4840},[70],{"categories":4842},[133],{"categories":4844},[70],{"categories":4846},[213],{"categories":4848},[480],{"categories":4850},[418],{"categories":4852},[395],{"categories":4854},[70],{"categories":4856},[70],{"categories":4858},[133],{"categories":4860},[70],{"categories":4862},[136],{"categories":4864},[70],{"categories":4866},[70],{"categories":4868},[70],{"categories":4870},[70],{"categories":4872},[70],{"categories":4874},[70],{"categories":4876},[70],{"categories":4878},[119],{"categories":4880},[109],{"categories":4882},[119],{"categories":4884},[70,114],{"categories":4886},[],{"categories":4888},[213],{"categories":4890},[],{"categories":4892},[122],{"categories":4894},[70],{"categories":4896},[158],{"categories":4898},[109],{"categories":4900},[70],{"categories":4902},[109],{"categories":4904},[119],{"categories":4906},[136],{"categories":4908},[119],{"categories":4910},[114],{"categories":4912},[122],{"categories":4914},[70],{"categories":4916},[119],{"categories":4918},[70],{"categories":4920},[70],{"categories":4922},[70],{"categories":4924},[114],{"categories":4926},[119],{"categories":4928},[133],{"categories":4930},[246],{"categories":4932},[70],{"categories":4934},[70],{"categories":4936},[],{"categories":4938},[158],{"categories":4940},[70],{"categories":4942},[70],{"categories":4944},[70],{"categories":4946},[70],{"categories":4948},[70],{"categories":4950},[70],{"categories":4952},[133],{"categories":4954},[158],{"categories":4956},[133],{"categories":4958},[133],{"categories":4960},[70],{"categories":4962},[70],{"categories":4964},[70],{"categories":4966},[70],{"categories":4968},[418],{"categories":4970},[70],{"categories":4972},[119],{"categories":4974},[119],{"categories":4976},[158],{"categories":4978},[70],{"categories":4980},[70],{"categories":4982},[70],{"categories":4984},[119],{"categories":4986},[70],{"categories":4988},[70],{"categories":4990},[70],{"categories":4992},[3443],{"categories":4994},[4995],"Clinical AI",{"categories":4997},[213],{"categories":4999},[70],{"categories":5001},[70],{"categories":5003},[70],{"categories":5005},[70],{"categories":5007},[289],{"categories":5009},[2736],{"categories":5011},[70],{"categories":5013},[122],{"categories":5015},[213],{"categories":5017},[70],{"categories":5019},[119],{"categories":5021},[70],{"categories":5023},[70],{"categories":5025},[158],{"categories":5027},[70],{"categories":5029},[119],{"categories":5031},[133],{"categories":5033},[246],{"categories":5035},[70],{"categories":5037},[70],{"categories":5039},[114],{"categories":5041},[70],{"categories":5043},[70],{"categories":5045},[549],{"categories":5047},[70],{"categories":5049},[],{"categories":5051},[119],{"categories":5053},[70],{"categories":5055},[133],{"categories":5057},[109],{"categories":5059},[70],{"categories":5061},[],{"categories":5063},[],{"categories":5065},[70],{"categories":5067},[],{"categories":5069},[114],{"categories":5071},[70],{"categories":5073},[70],{"categories":5075},[119],{"categories":5077},[119],{"categories":5079},[70],{"categories":5081},[158],{"categories":5083},[158],{"categories":5085},[158],{"categories":5087},[158],{"categories":5089},[],{"categories":5091},[109],{"categories":5093},[119],{"categories":5095},[158],{"categories":5097},[70],{"categories":5099},[622],{"categories":5101},[122],{"categories":5103},[119],{"categories":5105},[70],{"categories":5107},[109],{"categories":5109},[70],{"categories":5111},[119],{"categories":5113},[70],{"categories":5115},[70],{"categories":5117},[70],{"categories":5119},[70],{"categories":5121},[70],{"categories":5123},[70,119],{"categories":5125},[119],{"categories":5127},[289],{"categories":5129},[158],{"categories":5131},[119],{"categories":5133},[158],{"categories":5135},[119],{"categories":5137},[70],{"categories":5139},[],{"categories":5141},[158],{"categories":5143},[246],{"categories":5145},[109],{"categories":5147},[70],{"categories":5149},[70],{"categories":5151},[],{"categories":5153},[133],{"categories":5155},[],{"categories":5157},[109],{"categories":5159},[119],{"categories":5161},[158],{"categories":5163},[70],{"categories":5165},[158],{"categories":5167},[109],{"categories":5169},[158],{"categories":5171},[158],{"categories":5173},[],{"categories":5175},[114],{"categories":5177},[119],{"categories":5179},[158],{"categories":5181},[158],{"categories":5183},[158],{"categories":5185},[158],{"categories":5187},[158],{"categories":5189},[158],{"categories":5191},[158],{"categories":5193},[158],{"categories":5195},[158],{"categories":5197},[158],{"categories":5199},[136],{"categories":5201},[109],{"categories":5203},[70],{"categories":5205},[70],{"categories":5207},[119],{"categories":5209},[119],{"categories":5211},[],{"categories":5213},[70],{"categories":5215},[70,109],{"categories":5217},[],{"categories":5219},[119],{"categories":5221},[70],{"categories":5223},[158],{"categories":5225},[119],{"categories":5227},[119],{"categories":5229},[969],{"categories":5231},[70],{"categories":5233},[70],{"categories":5235},[70],{"categories":5237},[70],{"categories":5239},[122],{"categories":5241},[70],{"categories":5243},[70],{"categories":5245},[395],{"categories":5247},[70],{"categories":5249},[70],{"categories":5251},[119],{"categories":5253},[70],{"categories":5255},[70],{"categories":5257},[70],{"categories":5259},[114],{"categories":5261},[122],{"categories":5263},[119],{"categories":5265},[119],{"categories":5267},[],{"categories":5269},[119],{"categories":5271},[213],{"categories":5273},[158],{"categories":5275},[70],{"categories":5277},[],{"categories":5279},[70],{"categories":5281},[122],{"categories":5283},[],{"categories":5285},[133],{"categories":5287},[70],{"categories":5289},[119],{"categories":5291},[213],{"categories":5293},[70],{"categories":5295},[70],{"categories":5297},[],{"categories":5299},[70],{"categories":5301},[70],{"categories":5303},[],{"categories":5305},[246],{"categories":5307},[70],{"categories":5309},[119],{"categories":5311},[],{"categories":5313},[],{"categories":5315},[158],{"categories":5317},[109],{"categories":5319},[70],{"categories":5321},[70],{"categories":5323},[114],{"categories":5325},[70],{"categories":5327},[70],{"categories":5329},[119],{"categories":5331},[70],{"categories":5333},[114],{"categories":5335},[114],{"categories":5337},[213],{"categories":5339},[],{"categories":5341},[70],{"categories":5343},[158],{"categories":5345},[],{"categories":5347},[70],{"categories":5349},[70],{"categories":5351},[213],{"categories":5353},[70],{"categories":5355},[70],{"categories":5357},[246],{"categories":5359},[70],{"categories":5361},[289],{"categories":5363},[],{"categories":5365},[119],{"categories":5367},[70],{"categories":5369},[246],{"categories":5371},[133],{"categories":5373},[],{"categories":5375},[70],{"categories":5377},[],{"categories":5379},[119],{"categories":5381},[213],{"categories":5383},[133],{"categories":5385},[],{"categories":5387},[3443],{"categories":5389},[114],{"categories":5391},[109],{"categories":5393},[70],{"categories":5395},[119],{"categories":5397},[136],{"categories":5399},[119],{"categories":5401},[70],{"categories":5403},[213],{"categories":5405},[70],{"categories":5407},[70],{"categories":5409},[133],{"categories":5411},[],{"categories":5413},[],{"categories":5415},[70],{"categories":5417},[109],{"categories":5419},[70],{"categories":5421},[246],{"categories":5423},[],{"categories":5425},[119],{"categories":5427},[119],{"categories":5429},[70],{"categories":5431},[119],{"categories":5433},[70],{"categories":5435},[158],{"categories":5437},[70],{"categories":5439},[133],{"categories":5441},[70],{"categories":5443},[119],{"categories":5445},[122],{"categories":5447},[70],{"categories":5449},[70],{"categories":5451},[70],{"categories":5453},[70],{"categories":5455},[119],{"categories":5457},[70],{"categories":5459},[122],{"categories":5461},[246],{"categories":5463},[158],{"categories":5465},[],{"categories":5467},[246],{"categories":5469},[70],{"categories":5471},[],{"categories":5473},[133],{"categories":5475},[119],{"categories":5477},[],{"categories":5479},[70],{"categories":5481},[70],{"categories":5483},[70],{"categories":5485},[70],{"categories":5487},[70],{"categories":5489},[119],{"categories":5491},[114],{"categories":5493},[109],{"categories":5495},[70],{"categories":5497},[70],{"categories":5499},[119],{"categories":5501},[70],{"categories":5503},[213],{"categories":5505},[133],{"categories":5507},[133],{"categories":5509},[70],{"categories":5511},[136],{"categories":5513},[119],{"categories":5515},[70],{"categories":5517},[70],{"categories":5519},[119],{"categories":5521},[70],{"categories":5523},[70],{"categories":5525},[70],{"categories":5527},[119],{"categories":5529},[114],{"categories":5531},[70],{"categories":5533},[213],{"categories":5535},[133],{"categories":5537},[119],{"categories":5539},[70],{"categories":5541},[122],{"categories":5543},[70],{"categories":5545},[122],{"categories":5547},[119],{"categories":5549},[70],{"categories":5551},[70],{"categories":5553},[158],{"categories":5555},[70],{"categories":5557},[],{"categories":5559},[109],{"categories":5561},[70],{"categories":5563},[70],{"categories":5565},[70],{"categories":5567},[133],{"categories":5569},[133],{"categories":5571},[70],{"categories":5573},[133],{"categories":5575},[70],{"categories":5577},[119],{"categories":5579},[70],{"categories":5581},[70],{"categories":5583},[70],{"categories":5585},[70],{"categories":5587},[70],{"categories":5589},[],{"categories":5591},[70],{"categories":5593},[213],{"categories":5595},[119],{"categories":5597},[114],{"categories":5599},[158],{"categories":5601},[70],{"categories":5603},[119],{"categories":5605},[70],{"categories":5607},[119],{"categories":5609},[70],{"categories":5611},[70],{"categories":5613},[213],{"categories":5615},[119],{"categories":5617},[70],{"categories":5619},[246],{"categories":5621},[114],{"categories":5623},[70],{"categories":5625},[136],{"categories":5627},[70],{"categories":5629},[70],{"categories":5631},[158],{"categories":5633},[70],{"categories":5635},[70],{"categories":5637},[70],{"categories":5639},[70],{"categories":5641},[119],{"categories":5643},[289],{"categories":5645},[70],{"categories":5647},[133],{"categories":5649},[119],{"categories":5651},[136],{"categories":5653},[],{"categories":5655},[119],{"categories":5657},[133],{"categories":5659},[70],{"categories":5661},[70],{"categories":5663},[70],{"categories":5665},[2558],{"categories":5667},[70],{"categories":5669},[213],{"categories":5671},[324],{"categories":5673},[70],{"categories":5675},[70],{"categories":5677},[70],{"categories":5679},[70],{"categories":5681},[70],{"categories":5683},[109],{"categories":5685},[119],{"categories":5687},[70],{"categories":5689},[70],{"categories":5691},[133],{"categories":5693},[114],{"categories":5695},[70],{"categories":5697},[133],{"categories":5699},[70],{"categories":5701},[],{"categories":5703},[119],{"categories":5705},[119],{"categories":5707},[70],{"categories":5709},[70],{"categories":5711},[70],{"categories":5713},[136],{"categories":5715},[],{"categories":5717},[158],{"categories":5719},[],{"categories":5721},[158],{"categories":5723},[70],{"categories":5725},[70],{"categories":5727},[70],{"categories":5729},[119],{"categories":5731},[70],{"categories":5733},[119],{"categories":5735},[119],{"categories":5737},[],{"categories":5739},[70],{"categories":5741},[158],{"categories":5743},[70],{"categories":5745},[],{"categories":5747},[70],{"categories":5749},[70],{"categories":5751},[],{"categories":5753},[70],{"categories":5755},[70],{"categories":5757},[213],{"categories":5759},[133],{"categories":5761},[119],{"categories":5763},[70],{"categories":5765},[70],{"categories":5767},[70],{"categories":5769},[70],{"categories":5771},[70],{"categories":5773},[246],{"categories":5775},[70],{"categories":5777},[70],{"categories":5779},[70],{"categories":5781},[109],{"categories":5783},[70],{"categories":5785},[70],{"categories":5787},[],{"categories":5789},[70],{"categories":5791},[70],{"categories":5793},[70],{"categories":5795},[],{"categories":5797},[119],{"categories":5799},[109],{"categories":5801},[70],{"categories":5803},[70],{"categories":5805},[70],{"categories":5807},[70],{"categories":5809},[158],{"categories":5811},[70],{"categories":5813},[133],{"categories":5815},[122],{"categories":5817},[119],{"categories":5819},[480],{"categories":5821},[70],{"categories":5823},[70],{"categories":5825},[70],{"categories":5827},[133],{"categories":5829},[158],{"categories":5831},[213],{"categories":5833},[70],{"categories":5835},[70],{"categories":5837},[70],{"categories":5839},[70],{"categories":5841},[70],{"categories":5843},[70],{"categories":5845},[158],{"categories":5847},[70],{"categories":5849},[213],{"categories":5851},[70],{"categories":5853},[70],{"categories":5855},[158],{"categories":5857},[213],{"categories":5859},[70],{"categories":5861},[158],{"categories":5863},[70],{"categories":5865},[119],{"categories":5867},[119],{"categories":5869},[119],{"categories":5871},[70],{"categories":5873},[133],{"categories":5875},[158],{"categories":5877},[119],{"categories":5879},[119],{"categories":5881},[70],{"categories":5883},[133],{"categories":5885},[213],{"categories":5887},[70],{"categories":5889},[70],{"categories":5891},[119],{"categories":5893},[70],{"categories":5895},[],{"categories":5897},[119],{"categories":5899},[],{"categories":5901},[70],{"categories":5903},[70],{"categories":5905},[],{"categories":5907},[],{"categories":5909},[119],{"categories":5911},[114],{"categories":5913},[119],{"categories":5915},[5916],"Liability & Ethics",{"categories":5918},[70],{"categories":5920},[70],{"categories":5922},[70],{"categories":5924},[119],{"categories":5926},[109],{"categories":5928},[119],{"categories":5930},[114],{"categories":5932},[246],{"categories":5934},[70],{"categories":5936},[119],{"categories":5938},[70],{"categories":5940},[70],{"categories":5942},[70],{"categories":5944},[],{"categories":5946},[595],{"categories":5948},[119],{"categories":5950},[],{"categories":5952},[70],{"categories":5954},[109],{"categories":5956},[119],{"categories":5958},[70],{"categories":5960},[],{"categories":5962},[119],{"categories":5964},[70],{"categories":5966},[70],{"categories":5968},[133],{"categories":5970},[70],{"categories":5972},[158],{"categories":5974},[70],{"categories":5976},[70],{"categories":5978},[122],{"categories":5980},[70],{"categories":5982},[119],{"categories":5984},[70],{"categories":5986},[70],{"categories":5988},[70],{"categories":5990},[158],{"categories":5992},[119],{"categories":5994},[133],{"categories":5996},[213],{"categories":5998},[109],{"categories":6000},[70],{"categories":6002},[70],{"categories":6004},[70],{"categories":6006},[],{"categories":6008},[119],{"categories":6010},[119],{"categories":6012},[119],{"categories":6014},[480],{"categories":6016},[213],{"categories":6018},[119],{"categories":6020},[289],{"categories":6022},[133],{"categories":6024},[158],{"categories":6026},[70],{"categories":6028},[213],{"categories":6030},[70],{"categories":6032},[109],{"categories":6034},[],{"categories":6036},[70],{"categories":6038},[119],{"categories":6040},[70],{"categories":6042},[70],{"categories":6044},[70],{"categories":6046},[70],{"categories":6048},[119],{"categories":6050},[70],{"categories":6052},[70],{"categories":6054},[213],{"categories":6056},[119],{"categories":6058},[],{"categories":6060},[119],{"categories":6062},[122],{"categories":6064},[70],{"categories":6066},[158],{"categories":6068},[119],{"categories":6070},[114],{"categories":6072},[],{"categories":6074},[70],{"categories":6076},[70],{"categories":6078},[122],{"categories":6080},[70],{"categories":6082},[119],{"categories":6084},[158],{"categories":6086},[109],{"categories":6088},[289],{"categories":6090},[70],{"categories":6092},[70],{"categories":6094},[70],{"categories":6096},[158],{"categories":6098},[114],{"categories":6100},[70],{"categories":6102},[213],{"categories":6104},[158],{"categories":6106},[289],{"categories":6108},[70],{"categories":6110},[119],{"categories":6112},[],{"categories":6114},[549],{"categories":6116},[],{"categories":6118},[70],{"categories":6120},[289],{"categories":6122},[70],{"categories":6124},[136],{"categories":6126},[70],{"categories":6128},[119],{"categories":6130},[119],{"categories":6132},[6133],"Design News & Tools",{"categories":6135},[70],{"categories":6137},[70],{"categories":6139},[158],{"categories":6141},[70],{"categories":6143},[70],{"categories":6145},[70],{"categories":6147},[109],{"categories":6149},[119],{"categories":6151},[70],{"categories":6153},[213],{"categories":6155},[119],{"categories":6157},[119],{"categories":6159},[213],{"categories":6161},[70],{"categories":6163},[70],{"categories":6165},[70],{"categories":6167},[480],{"categories":6169},[119],{"categories":6171},[70],{"categories":6173},[119],{"categories":6175},[70],{"categories":6177},[70],{"categories":6179},[480],{"categories":6181},[70],{"categories":6183},[246],{"categories":6185},[70],{"categories":6187},[119],{"categories":6189},[],{"categories":6191},[70],{"categories":6193},[70],{"categories":6195},[70],{"categories":6197},[158],{"categories":6199},[70],{"categories":6201},[109],{"categories":6203},[],{"categories":6205},[70],{"categories":6207},[70],{"categories":6209},[70],{"categories":6211},[133],{"categories":6213},[622],{"categories":6215},[133],{"categories":6217},[213],{"categories":6219},[70],{"categories":6221},[70,119],{"categories":6223},[246,114],{"categories":6225},[133],{"categories":6227},[70],{"categories":6229},[70],{"categories":6231},[70],{"categories":6233},[70],{"categories":6235},[],{"categories":6237},[133],{"categories":6239},[119],{"categories":6241},[70],{"categories":6243},[70],{"categories":6245},[],{"categories":6247},[70],{"categories":6249},[133],{"categories":6251},[70],{"categories":6253},[133],{"categories":6255},[70],{"categories":6257},[],{"categories":6259},[119],{"categories":6261},[70],{"categories":6263},[114],{"categories":6265},[70],{"categories":6267},[158],{"categories":6269},[70],{"categories":6271},[],{"categories":6273},[70],{"categories":6275},[119],{"categories":6277},[70],{"categories":6279},[],{"categories":6281},[213],{"categories":6283},[70],{"categories":6285},[70],{"categories":6287},[119],{"categories":6289},[70],{"categories":6291},[70],{"categories":6293},[70],{"categories":6295},[109],{"categories":6297},[70],{"categories":6299},[119],{"categories":6301},[70],{"categories":6303},[],{"categories":6305},[70],{"categories":6307},[289],{"categories":6309},[246],{"categories":6311},[114],{"categories":6313},[114],{"categories":6315},[70],{"categories":6317},[109],{"categories":6319},[109],{"categories":6321},[70],{"categories":6323},[119],{"categories":6325},[70],{"categories":6327},[70],{"categories":6329},[70],{"categories":6331},[70],{"categories":6333},[133],{"categories":6335},[70],{"categories":6337},[109],{"categories":6339},[70],{"categories":6341},[70],{"categories":6343},[119],{"categories":6345},[70],{"categories":6347},[246],{"categories":6349},[70],{"categories":6351},[158],{"categories":6353},[70],{"categories":6355},[70],{"categories":6357},[119],{"categories":6359},[122],{"categories":6361},[70],{"categories":6363},[119],{"categories":6365},[70],{"categories":6367},[119],{"categories":6369},[],{"categories":6371},[133],{"categories":6373},[],{"categories":6375},[133],{"categories":6377},[119],{"categories":6379},[109],{"categories":6381},[70],{"categories":6383},[],{"categories":6385},[136],{"categories":6387},[289],{"categories":6389},[70],{"categories":6391},[133],{"categories":6393},[70],{"categories":6395},[],{"categories":6397},[158],{"categories":6399},[119],{"categories":6401},[133],{"categories":6403},[213],{"categories":6405},[114],{"categories":6407},[70],{"categories":6409},[70],{"categories":6411},[119],{"categories":6413},[133],{"categories":6415},[119],{"categories":6417},[158],{"categories":6419},[70],{"categories":6421},[122],{"categories":6423},[109],{"categories":6425},[122],{"categories":6427},[158],{"categories":6429},[70],{"categories":6431},[70],{"categories":6433},[133],{"categories":6435},[70],{"categories":6437},[213],{"categories":6439},[114],{"categories":6441},[70],{"categories":6443},[70],{"categories":6445},[70],{"categories":6447},[70],{"categories":6449},[70],{"categories":6451},[70],{"categories":6453},[119],{"categories":6455},[70],{"categories":6457},[70],{"categories":6459},[119],{"categories":6461},[70],{"categories":6463},[70],{"categories":6465},[109],{"categories":6467},[70],{"categories":6469},[119],{"categories":6471},[119],{"categories":6473},[213],{"categories":6475},[119],{"categories":6477},[70],{"categories":6479},[119],{"categories":6481},[70],{"categories":6483},[109],{"categories":6485},[119],{"categories":6487},[213],{"categories":6489},[],{"categories":6491},[70],{"categories":6493},[136],{"categories":6495},[480],{"categories":6497},[70],{"categories":6499},[119],{"categories":6501},[70],{"categories":6503},[70],{"categories":6505},[133],{"categories":6507},[70],{"categories":6509},[],{"categories":6511},[70],{"categories":6513},[119],{"categories":6515},[114],{"categories":6517},[70],{"categories":6519},[246],{"categories":6521},[213],{"categories":6523},[70],{"categories":6525},[133],{"categories":6527},[70],{"categories":6529},[158],{"categories":6531},[119],{"categories":6533},[70],{"categories":6535},[246],{"categories":6537},[119],{"categories":6539},[114],{"categories":6541},[114],{"categories":6543},[70],{"categories":6545},[70],{"categories":6547},[70],{"categories":6549},[70],{"categories":6551},[70],{"categories":6553},[70],{"categories":6555},[109],{"categories":6557},[70],{"categories":6559},[],{"categories":6561},[70],{"categories":6563},[70],{"categories":6565},[119],{"categories":6567},[70],{"categories":6569},[119],{"categories":6571},[70],{"categories":6573},[70],{"categories":6575},[70],{"categories":6577},[70],{"categories":6579},[70],{"categories":6581},[70],{"categories":6583},[133],{"categories":6585},[],{"categories":6587},[109],{"categories":6589},[70],{"categories":6591},[70],{"categories":6593},[119],{"categories":6595},[119],{"categories":6597},[],{"categories":6599},[133],{"categories":6601},[133],{"categories":6603},[70],{"categories":6605},[246],{"categories":6607},[114],{"categories":6609},[213],{"categories":6611},[70],{"categories":6613},[],{"categories":6615},[70],{"categories":6617},[119],{"categories":6619},[109],{"categories":6621},[70],{"categories":6623},[70],{"categories":6625},[133],{"categories":6627},[109],{"categories":6629},[70],{"categories":6631},[70],{"categories":6633},[158],{"categories":6635},[136],{"categories":6637},[70],{"categories":6639},[158],{"categories":6641},[70],{"categories":6643},[119],{"categories":6645},[70],{"categories":6647},[70],{"categories":6649},[],{"categories":6651},[158],{"categories":6653},[119],{"categories":6655},[213],{"categories":6657},[136],{"categories":6659},[70],{"categories":6661},[70],{"categories":6663},[70],{"categories":6665},[],{"categories":6667},[119],{"categories":6669},[119],{"categories":6671},[119],{"categories":6673},[3443],{"categories":6675},[158],{"categories":6677},[70],{"categories":6679},[133],{"categories":6681},[70],{"categories":6683},[70],{"categories":6685},[70],{"categories":6687},[70],{"categories":6689},[70],{"categories":6691},[119],{"categories":6693},[70],{"categories":6695},[114],{"categories":6697},[70],{"categories":6699},[109],{"categories":6701},[1950],{"categories":6703},[289],{"categories":6705},[109],{"categories":6707},[],{"categories":6709},[122],{"categories":6711},[70],{"categories":6713},[],{"categories":6715},[70],{"categories":6717},[158],{"categories":6719},[119],{"categories":6721},[213],{"categories":6723},[70],{"categories":6725},[119],{"categories":6727},[70],{"categories":6729},[70],{"categories":6731},[70],{"categories":6733},[70],{"categories":6735},[158],{"categories":6737},[],{"categories":6739},[70],{"categories":6741},[119],{"categories":6743},[70],{"categories":6745},[119],{"categories":6747},[119],{"categories":6749},[],{"categories":6751},[70],{"categories":6753},[],{"categories":6755},[158],{"categories":6757},[109],{"categories":6759},[70],{"categories":6761},[213],{"categories":6763},[70],{"categories":6765},[119],{"categories":6767},[158],{"categories":6769},[70],{"categories":6771},[158],{"categories":6773},[],{"categories":6775},[158],{"categories":6777},[70],{"categories":6779},[109],{"categories":6781},[119],{"categories":6783},[480],{"categories":6785},[70],{"categories":6787},[119],{"categories":6789},[70],{"categories":6791},[],{"categories":6793},[133],{"categories":6795},[119],{"categories":6797},[122],{"categories":6799},[119],{"categories":6801},[70],{"categories":6803},[109],{"categories":6805},[70],{"categories":6807},[70],{"categories":6809},[],{"categories":6811},[],{"categories":6813},[],{"categories":6815},[213],{"categories":6817},[70],{"categories":6819},[119],{"categories":6821},[70],{"categories":6823},[70],{"categories":6825},[],{"categories":6827},[],{"categories":6829},[],{"categories":6831},[70],{"categories":6833},[119],{"categories":6835},[213],{"categories":6837},[70],{"categories":6839},[],{"categories":6841},[119],{"categories":6843},[70],{"categories":6845},[70],{"categories":6847},[109],{"categories":6849},[],{"categories":6851},[],{"categories":6853},[70],{"categories":6855},[70],{"categories":6857},[70],{"categories":6859},[119],{"categories":6861},[213],{"categories":6863},[70],{"categories":6865},[158],{"categories":6867},[],{"categories":6869},[70],{"categories":6871},[70],{"categories":6873},[246],{"categories":6875},[158],{"categories":6877},[246],{"categories":6879},[133],{"categories":6881},[136],{"categories":6883},[70],{"categories":6885},[70],{"categories":6887},[],{"categories":6889},[],{"categories":6891},[119],{"categories":6893},[],{"categories":6895},[70],{"categories":6897},[480],{"categories":6899},[70],{"categories":6901},[70],{"categories":6903},[70],{"categories":6905},[70],{"categories":6907},[],{"categories":6909},[119],{"categories":6911},[70],{"categories":6913},[70],{"categories":6915},[],{"categories":6917},[119],{"categories":6919},[119],{"categories":6921},[70],{"categories":6923},[158],{"categories":6925},[70],{"categories":6927},[246],{"categories":6929},[70],{"categories":6931},[119],{"categories":6933},[114],{"categories":6935},[122],{"categories":6937},[70],{"categories":6939},[70],{"categories":6941},[119],{"categories":6943},[136],{"categories":6945},[119],{"categories":6947},[119],{"categories":6949},[],{"categories":6951},[70],{"categories":6953},[119],{"categories":6955},[],{"categories":6957},[70],{"categories":6959},[],{"categories":6961},[158],{"categories":6963},[114],{"categories":6965},[],{"categories":6967},[70],{"categories":6969},[70],{"categories":6971},[70],{"categories":6973},[],{"categories":6975},[119],{"categories":6977},[213],{"categories":6979},[109],{"categories":6981},[70],{"categories":6983},[],{"categories":6985},[114],{"categories":6987},[246],{"categories":6989},[70],{"categories":6991},[133],{"categories":6993},[109],{"categories":6995},[136],{"categories":6997},[114],{"categories":6999},[133],{"categories":7001},[119],{"categories":7003},[133],{"categories":7005},[],{"categories":7007},[70],{"categories":7009},[122],{"categories":7011},[122],{"categories":7013},[70],{"categories":7015},[],{"categories":7017},[119],{"categories":7019},[119],{"categories":7021},[109],{"categories":7023},[213],{"categories":7025},[70],{"categories":7027},[70],{"categories":7029},[109],{"categories":7031},[119],{"categories":7033},[289],{"categories":7035},[70],{"categories":7037},[70],{"categories":7039},[70],{"categories":7041},[70],{"categories":7043},[70],{"categories":7045},[109],{"categories":7047},[70],{"categories":7049},[133],{"categories":7051},[136],{"categories":7053},[119],{"categories":7055},[],{"categories":7057},[70],{"categories":7059},[70],{"categories":7061},[70],{"categories":7063},[133],{"categories":7065},[119],{"categories":7067},[158],{"categories":7069},[133],{"categories":7071},[70],{"categories":7073},[122],{"categories":7075},[],{"categories":7077},[213],{"categories":7079},[133],{"categories":7081},[158],{"categories":7083},[70],{"categories":7085},[70],{"categories":7087},[109],{"categories":7089},[119],{"categories":7091},[70],{"categories":7093},[70],{"categories":7095},[119],{"categories":7097},[122],{"categories":7099},[70],{"categories":7101},[119],{"categories":7103},[70],{"categories":7105},[114],{"categories":7107},[70],{"categories":7109},[119],{"categories":7111},[119,289],{"categories":7113},[70],{"categories":7115},[70],{"categories":7117},[119],{"categories":7119},[133],{"categories":7121},[70],{"categories":7123},[70],{"categories":7125},[70],{"categories":7127},[136],{"categories":7129},[119],{"categories":7131},[246],{"categories":7133},[119],{"categories":7135},[114],{"categories":7137},[],{"categories":7139},[119],{"categories":7141},[70],{"categories":7143},[114],{"categories":7145},[],{"categories":7147},[],{"categories":7149},[70],{"categories":7151},[133],{"categories":7153},[70],{"categories":7155},[70],{"categories":7157},[119],{"categories":7159},[70],{"categories":7161},[136],{"categories":7163},[246],{"categories":7165},[70],{"categories":7167},[70],{"categories":7169},[70],{"categories":7171},[70],{"categories":7173},[119],{"categories":7175},[],{"categories":7177},[119],{"categories":7179},[158],{"categories":7181},[70],{"categories":7183},[119],{"categories":7185},[119],{"categories":7187},[70],{"categories":7189},[],{"categories":7191},[158],{"categories":7193},[133],{"categories":7195},[3443],{"categories":7197},[109],{"categories":7199},[133],{"categories":7201},[70],{"categories":7203},[119],{"categories":7205},[70],{"categories":7207},[70],{"categories":7209},[246],{"categories":7211},[133],{"categories":7213},[136],{"categories":7215},[],{"categories":7217},[158],{"categories":7219},[70],{"categories":7221},[70],{"categories":7223},[],{"categories":7225},[119],{"categories":7227},[70],{"categories":7229},[70],{"categories":7231},[70],{"categories":7233},[70],{"categories":7235},[119],{"categories":7237},[70],{"categories":7239},[70],{"categories":7241},[70],{"categories":7243},[70],{"categories":7245},[122],{"categories":7247},[70],{"categories":7249},[119],{"categories":7251},[70],{"categories":7253},[70],{"categories":7255},[70],{"categories":7257},[70],{"categories":7259},[70],{"categories":7261},[70],{"categories":7263},[70],{"categories":7265},[114],{"categories":7267},[],{"categories":7269},[122],{"categories":7271},[70],{"categories":7273},[158],{"categories":7275},[119],{"categories":7277},[70],{"categories":7279},[133],{"categories":7281},[],{"categories":7283},[133],{"categories":7285},[133],{"categories":7287},[119],{"categories":7289},[133],{"categories":7291},[70],{"categories":7293},[70],{"categories":7295},[70],{"categories":7297},[119],{"categories":7299},[133],{"categories":7301},[70],{"categories":7303},[70],{"categories":7305},[70],{"categories":7307},[119],{"categories":7309},[158],{"categories":7311},[70],{"categories":7313},[70],{"categories":7315},[70],{"categories":7317},[114],{"categories":7319},[70],{"categories":7321},[119],{"categories":7323},[213],{"categories":7325},[],{"categories":7327},[70],{"categories":7329},[70],{"categories":7331},[136],{"categories":7333},[70],{"categories":7335},[119],{"categories":7337},[70],{"categories":7339},[70],{"categories":7341},[],{"categories":7343},[70],{"categories":7345},[70],{"categories":7347},[158],{"categories":7349},[70],{"categories":7351},[70],{"categories":7353},[119],{"categories":7355},[246],{"categories":7357},[],{"categories":7359},[],{"categories":7361},[133],{"categories":7363},[70],{"categories":7365},[70],{"categories":7367},[122],{"categories":7369},[158],{"categories":7371},[70],{"categories":7373},[133],{"categories":7375},[158],{"categories":7377},[70],{"categories":7379},[70],{"categories":7381},[246],{"categories":7383},[136],{"categories":7385},[70],{"categories":7387},[70],{"categories":7389},[109],{"categories":7391},[119],{"categories":7393},[70],{"categories":7395},[70],{"categories":7397},[119],{"categories":7399},[114],{"categories":7401},[119],{"categories":7403},[133],{"categories":7405},[70],{"categories":7407},[114],{"categories":7409},[],{"categories":7411},[70],{"categories":7413},[136],{"categories":7415},[70],{"categories":7417},[70],{"categories":7419},[],{"categories":7421},[158],{"categories":7423},[70],{"categories":7425},[119],{"categories":7427},[136],{"categories":7429},[70],{"categories":7431},[133],{"categories":7433},[133],{"categories":7435},[133],{"categories":7437},[70],{"categories":7439},[119],{"categories":7441},[119],{"categories":7443},[70],{"categories":7445},[119],{"categories":7447},[70],{"categories":7449},[70],{"categories":7451},[213],{"categories":7453},[136],{"categories":7455},[136],{"categories":7457},[],{"categories":7459},[158],{"categories":7461},[70],{"categories":7463},[70],{"categories":7465},[133],{"categories":7467},[],{"categories":7469},[158],{"categories":7471},[158],{"categories":7473},[158],{"categories":7475},[],{"categories":7477},[119],{"categories":7479},[70],{"categories":7481},[],{"categories":7483},[109],{"categories":7485},[114],{"categories":7487},[],{"categories":7489},[70],{"categories":7491},[70],{"categories":7493},[],{"categories":7495},[133],{"categories":7497},[],{"categories":7499},[],{"categories":7501},[],{"categories":7503},[],{"categories":7505},[70],{"categories":7507},[158],{"categories":7509},[],{"categories":7511},[],{"categories":7513},[70],{"categories":7515},[70],{"categories":7517},[70],{"categories":7519},[136],{"categories":7521},[70],{"categories":7523},[136],{"categories":7525},[],{"categories":7527},[136],{"categories":7529},[136],{"categories":7531},[289],{"categories":7533},[119],{"categories":7535},[133],{"categories":7537},[],{"categories":7539},[],{"categories":7541},[136],{"categories":7543},[133],{"categories":7545},[133],{"categories":7547},[133],{"categories":7549},[],{"categories":7551},[109],{"categories":7553},[133],{"categories":7555},[133],{"categories":7557},[109],{"categories":7559},[133],{"categories":7561},[114],{"categories":7563},[133],{"categories":7565},[133],{"categories":7567},[133],{"categories":7569},[136],{"categories":7571},[158],{"categories":7573},[158],{"categories":7575},[70],{"categories":7577},[133],{"categories":7579},[136],{"categories":7581},[289],{"categories":7583},[136],{"categories":7585},[136],{"categories":7587},[136],{"categories":7589},[],{"categories":7591},[114],{"categories":7593},[],{"categories":7595},[289],{"categories":7597},[133],{"categories":7599},[133],{"categories":7601},[133],{"categories":7603},[119],{"categories":7605},[158,114],{"categories":7607},[136],{"categories":7609},[],{"categories":7611},[],{"categories":7613},[136],{"categories":7615},[],{"categories":7617},[136],{"categories":7619},[158],{"categories":7621},[119],{"categories":7623},[],{"categories":7625},[133],{"categories":7627},[70],{"categories":7629},[213],{"categories":7631},[],{"categories":7633},[70],{"categories":7635},[],{"categories":7637},[158],{"categories":7639},[109],{"categories":7641},[136],{"categories":7643},[],{"categories":7645},[133],{"categories":7647},[158],[7649,7704,7781,7836],{"id":7650,"title":7651,"ai":7652,"body":7657,"categories":7685,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":7686,"navigation":87,"path":7694,"published_at":7695,"question":71,"scraped_at":7695,"seo":7696,"sitemap":7697,"source_id":7698,"source_name":93,"source_type":94,"source_url":7690,"stem":7699,"tags":7700,"thumbnail_url":71,"tldr":7701,"tweet":71,"unknown_tags":7702,"__hash__":7703},"summaries\u002Fsummaries\u002Feadc303949cd94f2-detecting-llm-harm-via-latent-states-summary.md","Detecting LLM Harm via Latent States",{"provider":7,"model":8,"input_tokens":7653,"output_tokens":7654,"processing_time_ms":7655,"cost_usd":7656},4127,479,3080,0.00175025,{"type":14,"value":7658,"toc":7680},[7659,7663,7666,7670,7673,7677],[17,7660,7662],{"id":7661},"moving-beyond-output-based-safety","Moving Beyond Output-Based Safety",[22,7664,7665],{},"Traditional safety mechanisms for Large Language Models (LLMs) primarily rely on post-hoc filtering—analyzing the generated text for harmful content after the model has already processed the prompt. This paper argues that this approach is inherently reactive and prone to failure, as adversarial prompts can often bypass surface-level filters. Instead, the authors propose a proactive detection method that monitors the model's internal latent states during the inference process.",[17,7667,7669],{"id":7668},"detecting-intent-through-latent-representations","Detecting Intent Through Latent Representations",[22,7671,7672],{},"The core insight is that an LLM's internal representation of a prompt—its latent state—contains signals of harmful intent before the final output is generated. By training auxiliary classifiers on these intermediate activations, the researchers demonstrate that it is possible to identify malicious queries with higher accuracy than traditional output-based classifiers. This approach treats the model as a 'glass box,' leveraging the rich, high-dimensional data present in the hidden layers to intercept harmful generation attempts at the earliest possible stage.",[17,7674,7676],{"id":7675},"implications-for-ai-engineering","Implications for AI Engineering",[22,7678,7679],{},"This research suggests a shift in how developers should architect AI safety pipelines. By moving detection from the 'output' layer to the 'processing' layer, developers can implement more robust guardrails that are harder to 'jailbreak' via prompt engineering. While this method requires access to the model's internal activations—which may be restricted in closed-source models—it provides a blueprint for building safer, more transparent AI systems in environments where model weights or internal states are accessible.",{"title":63,"searchDepth":64,"depth":64,"links":7681},[7682,7683,7684],{"id":7661,"depth":64,"text":7662},{"id":7668,"depth":64,"text":7669},{"id":7675,"depth":64,"text":7676},[70],{"content_references":7687,"triage":7692},[7688],{"type":77,"title":7689,"url":7690,"context":7691},"Safety Beyond the Interface: Detecting Harm via Latent States in Large Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19472","reviewed",{"relevance":82,"novelty":83,"quality":83,"actionability":84,"composite":85,"reasoning":7693},"Category: AI & LLMs. The article directly addresses a core topic in AI engineering by proposing a new method for detecting harmful intent in LLMs, which is highly relevant for developers building AI-powered products. It offers insights into improving AI safety pipelines, although the practical application may be limited by access to model internals.","\u002Fsummaries\u002Feadc303949cd94f2-detecting-llm-harm-via-latent-states-summary","2026-09-19 03:10:35",{"title":7651,"description":63},{"loc":7694},"eadc303949cd94f2","summaries\u002Feadc303949cd94f2-detecting-llm-harm-via-latent-states-summary",[97,98,100,99],"Rather than relying on output filtering, this research proposes monitoring internal latent states of LLMs to detect harmful intent before it manifests in generated text.",[],"yMWVKDo-LzCo5Yo0OMy1Y7e8ZWv_ciUt446NYQEzmMQ",{"id":7705,"title":7706,"ai":7707,"body":7712,"categories":7761,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":7762,"navigation":87,"path":7771,"published_at":7772,"question":71,"scraped_at":7772,"seo":7773,"sitemap":7774,"source_id":7775,"source_name":93,"source_type":94,"source_url":7767,"stem":7776,"tags":7777,"thumbnail_url":71,"tldr":7778,"tweet":71,"unknown_tags":7779,"__hash__":7780},"summaries\u002Fsummaries\u002F15fe6167da12d22f-the-inference-engineering-pareto-atlas-optimizing--summary.md","The Inference Engineering Pareto Atlas: Optimizing LLM Performance",{"provider":7,"model":8,"input_tokens":7708,"output_tokens":7709,"processing_time_ms":7710,"cost_usd":7711},4030,658,3619,0.0019945,{"type":14,"value":7713,"toc":7756},[7714,7718,7721,7725,7728,7749,7753],[17,7715,7717],{"id":7716},"the-inference-engineering-pareto-frontier","The Inference Engineering Pareto Frontier",[22,7719,7720],{},"Inference engineering is fundamentally a multi-objective optimization problem. The \"Pareto Atlas\" framework categorizes optimization techniques by their impact on three competing metrics: cost, output quality, and latency. The research establishes that no single technique is universally superior; instead, the optimal choice depends on the specific constraints of the application. For instance, techniques that significantly reduce latency often introduce non-trivial degradation in output quality, while cost-saving measures like quantization or speculative decoding require careful calibration to maintain performance benchmarks.",[17,7722,7724],{"id":7723},"dominant-optimization-strategies","Dominant Optimization Strategies",[22,7726,7727],{},"The paper identifies specific clusters of techniques that dominate the Pareto frontier:",[7729,7730,7731,7737,7743],"ul",{},[36,7732,7733,7736],{},[39,7734,7735],{},"Latency-First Optimizations:"," Techniques like speculative decoding and KV-cache compression are highlighted as the most effective for real-time applications where time-to-first-token (TTFT) is the primary constraint. These methods dominate the frontier when the cost of compute is secondary to user experience.",[36,7738,7739,7742],{},[39,7740,7741],{},"Cost-Efficiency Strategies:"," Model distillation and aggressive quantization (e.g., moving from FP16 to INT4 or lower) are identified as the primary levers for reducing inference costs. The authors note that while these methods offer the highest ROI for high-volume production environments, they require rigorous evaluation pipelines to ensure quality thresholds are met.",[36,7744,7745,7748],{},[39,7746,7747],{},"Quality-Preserving Techniques:"," For applications where accuracy is paramount (e.g., coding assistants or legal analysis), the research argues that architectural choices like Mixture-of-Experts (MoE) or retrieval-augmented generation (RAG) provide better quality-to-cost ratios than simply scaling model parameters.",[17,7750,7752],{"id":7751},"navigating-trade-offs-in-production","Navigating Trade-offs in Production",[22,7754,7755],{},"The core insight for builders is the necessity of a \"performance budget.\" The authors suggest that engineers should map their specific use case to a point on the Pareto curve rather than chasing absolute metrics. For example, a chat interface requires low latency, whereas a batch data processing task can prioritize cost-efficiency. The paper provides a decision matrix for selecting the appropriate optimization stack based on these priorities, emphasizing that the most \"powerful\" model is rarely the most efficient choice for a specific production workload.",{"title":63,"searchDepth":64,"depth":64,"links":7757},[7758,7759,7760],{"id":7716,"depth":64,"text":7717},{"id":7723,"depth":64,"text":7724},{"id":7751,"depth":64,"text":7752},[70],{"content_references":7763,"triage":7768},[7764],{"type":77,"title":7765,"author":7766,"url":7767,"context":80},"The Inference Engineering Pareto Atlas: Which Optimizations Dominate the Cost, Quality, and Latency Frontier?","Various","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.17863",{"relevance":82,"novelty":83,"quality":83,"actionability":83,"composite":7769,"reasoning":7770},4.35,"Category: AI & LLMs. The article provides a systematic framework for optimizing LLM performance, addressing key trade-offs that product builders face, such as cost, quality, and latency. It offers actionable insights on specific optimization techniques, making it highly relevant for developers looking to implement AI features effectively.","\u002Fsummaries\u002F15fe6167da12d22f-the-inference-engineering-pareto-atlas-optimizing-summary","2026-09-18 03:12:04",{"title":7706,"description":63},{"loc":7771},"15fe6167da12d22f","summaries\u002F15fe6167da12d22f-the-inference-engineering-pareto-atlas-optimizing--summary",[97,100,98,99],"The paper provides a systematic framework for navigating the trade-offs between cost, quality, and latency in LLM inference, identifying which optimization techniques dominate the performance frontier.",[],"ts_eXoxhXoxCuNhwr6L51Qso_GAdRbwtitPeiivgN5k",{"id":7782,"title":7783,"ai":7784,"body":7789,"categories":7817,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":7818,"navigation":87,"path":7826,"published_at":7827,"question":71,"scraped_at":7827,"seo":7828,"sitemap":7829,"source_id":7830,"source_name":93,"source_type":94,"source_url":7822,"stem":7831,"tags":7832,"thumbnail_url":71,"tldr":7833,"tweet":71,"unknown_tags":7834,"__hash__":7835},"summaries\u002Fsummaries\u002F13cafb8278b40242-training-nemotron-for-olympiad-level-mathematics-summary.md","Training Nemotron for Olympiad-Level Mathematics",{"provider":7,"model":8,"input_tokens":7785,"output_tokens":7786,"processing_time_ms":7787,"cost_usd":7788},4016,486,3091,0.001733,{"type":14,"value":7790,"toc":7812},[7791,7795,7798,7802,7805,7809],[17,7792,7794],{"id":7793},"the-recipe-for-mathematical-reasoning","The Recipe for Mathematical Reasoning",[22,7796,7797],{},"Achieving gold-medal performance in Olympiad-level mathematics requires moving beyond standard pre-training. The core strategy involves a multi-stage pipeline that emphasizes high-quality synthetic data generation and rigorous reinforcement learning (RL) feedback loops. Instead of relying solely on massive web-scale corpora, the authors demonstrate that performance gains are driven by the quality and logical density of the training data, specifically tailored to the nuances of formal mathematical proofs.",[17,7799,7801],{"id":7800},"synthetic-data-and-iterative-refinement","Synthetic Data and Iterative Refinement",[22,7803,7804],{},"The approach relies on generating synthetic mathematical problems and solutions that force the model to engage in multi-step reasoning. By using an iterative refinement process, the model learns to self-correct and verify its own logical steps. This is critical because Olympiad problems often require non-obvious creative leaps that standard pattern matching fails to capture. The authors highlight that the model's ability to explore different proof paths—and discard incorrect ones—is what separates high-performing models from those that merely memorize solutions.",[17,7806,7808],{"id":7807},"reinforcement-learning-for-proof-verification","Reinforcement Learning for Proof Verification",[22,7810,7811],{},"Reinforcement learning is applied to reward the model not just for the final answer, but for the validity of the intermediate logical steps. By using a verifier that checks the soundness of each line of a proof, the model is incentivized to maintain logical consistency throughout the entire derivation. This reduces the 'hallucination' of mathematical steps and ensures that the model adheres to the strict constraints of formal mathematical logic required for competitive Olympiad standards.",{"title":63,"searchDepth":64,"depth":64,"links":7813},[7814,7815,7816],{"id":7793,"depth":64,"text":7794},{"id":7800,"depth":64,"text":7801},{"id":7807,"depth":64,"text":7808},[70],{"content_references":7819,"triage":7823},[7820],{"type":77,"title":7821,"url":7822,"context":7691},"An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.10712",{"relevance":84,"novelty":83,"quality":83,"actionability":64,"composite":7824,"reasoning":7825},3.25,"Category: AI & LLMs. The article discusses a systematic approach to training LLMs for advanced mathematical reasoning, which is relevant to AI engineering. However, it lacks direct practical applications for product builders, focusing more on theoretical aspects of model training.","\u002Fsummaries\u002F13cafb8278b40242-training-nemotron-for-olympiad-level-mathematics-summary","2026-09-13 03:09:04",{"title":7783,"description":63},{"loc":7826},"13cafb8278b40242","summaries\u002F13cafb8278b40242-training-nemotron-for-olympiad-level-mathematics-summary",[97,98,99,100],"The paper outlines a systematic recipe for training LLMs to achieve gold-medal performance in Olympiad-level mathematics, emphasizing high-quality synthetic data generation and iterative reinforcement learning.",[],"DGrnsBUZIyi7bOTVFfNY5v5DguXtKLGOTrH7blIVGWM",{"id":7837,"title":7838,"ai":7839,"body":7844,"categories":7895,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":7896,"navigation":87,"path":7904,"published_at":7905,"question":71,"scraped_at":7905,"seo":7906,"sitemap":7907,"source_id":7908,"source_name":93,"source_type":94,"source_url":7900,"stem":7909,"tags":7910,"thumbnail_url":71,"tldr":7911,"tweet":71,"unknown_tags":7912,"__hash__":7913},"summaries\u002Fsummaries\u002Fe0b60c2887170952-evaluating-explainable-ai-xai-quality-with-llms-summary.md","Evaluating Explainable AI (XAI) Quality with LLMs",{"provider":7,"model":8,"input_tokens":7840,"output_tokens":7841,"processing_time_ms":7842,"cost_usd":7843},4001,546,2870,0.00181925,{"type":14,"value":7845,"toc":7890},[7846,7850,7853,7857,7860,7864,7867,7887],[17,7847,7849],{"id":7848},"the-challenge-of-subjective-xai-evaluation","The Challenge of Subjective XAI Evaluation",[22,7851,7852],{},"Explainable AI (XAI) is critical for trust and transparency, yet evaluating the quality of an explanation remains a notoriously difficult task. Traditionally, this requires expensive, time-consuming human studies to assess factors like faithfulness, clarity, and utility. The XAI-Arena framework explores a scalable alternative: using LLMs as automated evaluators to judge the quality of XAI explanations across various domains.",[17,7854,7856],{"id":7855},"the-xai-arena-framework","The XAI-Arena Framework",[22,7858,7859],{},"The core premise of XAI-Arena is to treat explanation quality assessment as a comparative or scoring task for LLMs. By providing models with the original input data, the model's prediction, and the generated explanation, researchers can prompt the LLM to evaluate the explanation based on specific criteria. This approach shifts the burden of evaluation from human participants to automated pipelines, potentially allowing for rapid iteration during the development of XAI systems.",[17,7861,7863],{"id":7862},"key-research-questions","Key Research Questions",[22,7865,7866],{},"The study investigates several critical dimensions of LLM-based evaluation:",[7729,7868,7869,7875,7881],{},[36,7870,7871,7874],{},[39,7872,7873],{},"Alignment with Human Judgement:"," To what extent do LLM scores correlate with human assessments of explanation quality? If LLMs can replicate human intuition, they serve as a viable proxy for user-centric evaluation.",[36,7876,7877,7880],{},[39,7878,7879],{},"Consistency and Bias:"," Do LLMs exhibit systematic biases when evaluating explanations, such as favoring longer explanations or those generated by specific model architectures?",[36,7882,7883,7886],{},[39,7884,7885],{},"Scalability:"," How does this automated approach perform across different types of XAI methods (e.g., feature attribution, counterfactuals, or natural language rationales)?",[22,7888,7889],{},"The research aims to determine if LLMs can act as a reliable 'judge' in the XAI ecosystem, providing a standardized way to benchmark how well models explain their decision-making processes.",{"title":63,"searchDepth":64,"depth":64,"links":7891},[7892,7893,7894],{"id":7848,"depth":64,"text":7849},{"id":7855,"depth":64,"text":7856},{"id":7862,"depth":64,"text":7863},[70],{"content_references":7897,"triage":7901},[7898],{"type":77,"title":7899,"url":7900,"context":80},"XAI-Arena: Can LLMs Assess the Quality of XAI Explanations?","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.09428",{"relevance":83,"novelty":83,"quality":83,"actionability":84,"composite":7902,"reasoning":7903},3.8,"Category: AI & LLMs. The article discusses the XAI-Arena framework, which evaluates explainable AI using LLMs, addressing a specific audience pain point regarding the subjective nature of XAI evaluation. It presents new insights into automating this process, although it lacks direct actionable steps for implementation.","\u002Fsummaries\u002Fe0b60c2887170952-evaluating-explainable-ai-xai-quality-with-llms-summary","2026-09-12 03:10:33",{"title":7838,"description":63},{"loc":7904},"e0b60c2887170952","summaries\u002Fe0b60c2887170952-evaluating-explainable-ai-xai-quality-with-llms-summary",[97,100,99,98],"The XAI-Arena framework tests whether Large Language Models can reliably evaluate the quality of explainable AI outputs, aiming to automate the subjective process of human-centric XAI assessment.",[],"ctbNH3pA_Leh-FlX4G-FkjvpWxaSW6gqJXBVpp476MQ"]